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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Short-Range Navigation Radio System Simulator</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Kirill Smelyakov</string-name>
          <email>kyrylo.smelyakov@nure.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Maksym Volk</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Igor Ruban</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Maksym Derenskyi</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Anastasiya Chupryna</string-name>
          <email>anastasiya.chupryna@nure.ua</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Kharkiv National University of Radio Electronics</institution>
          ,
          <addr-line>14 Nauky Ave., Kharkiv, 61166</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <fpage>106</fpage>
      <lpage>121</lpage>
      <abstract>
        <p>The work is devoted to the description of the key aspects of the development and use of a computer simulator of a short-range radio engineering system. The simulator allows to simulate a wide range of situations of interaction between the beacon and the aircraft on the ground. So, it is possible to link the aircraft and the beacon on a real map of the area at the required scale. Set and change their parameters at the required time. Build separate aircraft flight routes. It is possible to create and use entire flight scenarios. The system has worked out not only algorithms and functionality, but also the interface and visualization system of the simulator. This allows to effectively use the simulator for training purposes. Moreover, the simulator works in real time. And it is fully integrated, that is, it adequately takes into account all the main factors of influence that must be taken into account in the subject area to describe the interaction between the aircraft and the beacon. The simulator was highly appreciated by experts in the subject area.</p>
      </abstract>
      <kwd-group>
        <kwd>RSBN Simulator</kwd>
        <kwd>aircraft</kwd>
        <kwd>beacon</kwd>
        <kwd>flight route</kwd>
        <kwd>range</kwd>
        <kwd>azimuth</kwd>
        <kwd>visualization</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
more are described.</p>
      <p>Currently, the ICT market segment dedicated to the development and use of simulators for a wide
range and purposes is actively developing. The best known are driving simulators and biomedical
simulators. The main goals of developing such simulators are to provide an opportunity to dive into the
process under consideration as realistically as possible, to get a holistic view of it, to learn how to
effectively manage an object / process. For example, by plane. The development of modern computer
simulators of short-range radio navigation systems (RSBN) is relevant, mainly for the purpose of
operational training in working with RSBN.</p>
      <p>At the same time, the RSBN simulator must holistically integrate the process of interaction between
the aircraft and the beacon on a real terrain (map), in real time. The simulator should provide a better
visualization interface and the necessary functionality for simulating a wide range of situations, for a
relatively quick understanding of the essence of the process, mastering the basic mechanisms of
interaction between the aircraft and the beacon.</p>
      <p>In order to achieve these goals, the following main tasks are solved in the work:</p>
      <p>An analysis of the current state of the issue in the subject area is given.</p>
      <p>Requirements for a modern RSBN simulator, basic methods, algorithms and implementation
technologies, functionality, requirements for interface and visualization, for using scripts, and much</p>
      <p>A description of the proposed simulator, experiments with it, the results of experiments is given,
their interpretation, recommendations, performance evaluations are given.
EMAIL:
(K.</p>
      <p>Smelyakov);
ihor.ruban@nure.ua
(I.</p>
      <p>Ruban);</p>
      <p>2023 Copyright for this paper by its authors.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Related Works</title>
      <p>
        Analyzing the latest reviews [
        <xref ref-type="bibr" rid="ref1 ref2 ref3">1-3</xref>
        ], one can see that in recent years, technologies for building and
visualizing simulators in robotics, medicine, and transport have been dynamically developing. The use
of modern information technologies and computer technology makes it possible to simulate real
situations in the subject area as accurately as possible when creating simulators. Thus ensuring the
maximum learning effect when using modern simulators. In this regard, the development and transfer
of technologies in the field of development of computer simulators of RSBN is relevant [
        <xref ref-type="bibr" rid="ref4 ref5 ref6">4-6</xref>
        ].
      </p>
      <p>
        In this regard, [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] proposes a model for improving positioning efficiency through co-positioning in
a partial GNSS environment in special purpose networks. In [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], a description of the model and
technologies for modeling scenarios, as well as generating several targets with individual ranges and
speeds for radars of a continuous signal with a frequency-modulated sequence is presented (LFM). In
[
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], the results of research in the field of positioning based on magnetic location are presented – a new
tool for modeling the magnetic field is presented, taking into account the specification and the area of
localization. The work [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ] presents short-range intelligent navigation technologies based on IoT. In [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ],
a new algorithm is proposed for the localization of a short-range vehicle in order to compensate for the
gap in the distance according to the GPS device. This solves the problem of low signal-to-noise ratio.
In [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ], the problem of using a stationary calibration device for navigation systems to test the DME
reception functions and the ATC-1400A DME tester is solved. In [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ], a solution is given to the problem
of using new software for efficient processing of radio navigation signals, reducing the effect of
interference, and increasing the efficiency of spectral signals. A range of computer models is proposed,
and the results of laboratory studies of FBMC structures are described. In [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ], the problem of
constructing a linear flight controller with a variable gain parameter is solved to improve the efficiency
of flight simulators (IFS) under conditions of large parameterization. In [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ], efficient algorithms and a
simulator are proposed for simulating a navigation cycle by waypoints on a terrain map. The paper [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ]
presents a model of a dynamic low-flying aircraft flight simulator with several degrees of freedom. In
[
        <xref ref-type="bibr" rid="ref15">15</xref>
        ], a new predictive model based on the back input method was proposed. The paper [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ] proposes a
new technology for using multi-core platforms to automate onboard data processing, as well as a
corresponding test platform for evaluating the efficiency of using the autopilot system. In [
        <xref ref-type="bibr" rid="ref17">17</xref>
        ],
algorithms and models are presented, on the basis of which a simulator for checking the aircraft
takeoff warning system, including visualization of the control panel, is built. The paper [
        <xref ref-type="bibr" rid="ref18">18</xref>
        ] presents the
results of using a genetic algorithm to optimize some processes inside flight simulators. The paper [
        <xref ref-type="bibr" rid="ref19">19</xref>
        ]
presents the results of simulation modeling of the elements of the navigation system on the time scale
to assess the effectiveness of their joint work and mutual influence on each other.
      </p>
      <p>
        An analysis of the current state of the issue shows significant progress in the field of building a
variety of simulators and the relevance of using the models, algorithms and technologies developed in
them, including in the field of visualization, to build simulators of short-range navigation radio systems,
taking into account the requirements of the time. Including for the short-range navigation radio system
[
        <xref ref-type="bibr" rid="ref20 ref21">20, 21</xref>
        ].
      </p>
      <p>
        The key requirements for such a simulator are consistent accounting for the entire complex of
influencing factors, a high level of visualization, real-time operation on real maps of the area, the ability
to quickly correct the situation, work with flight scenarios [
        <xref ref-type="bibr" rid="ref20 ref21 ref22">20-22</xref>
        ].
      </p>
      <p>
        In terms of the development of such simulators, the most relevant aspects are the introduction of:
modern image processing systems and computational intelligence [
        <xref ref-type="bibr" rid="ref23 ref24">23, 24</xref>
        ] to improve the perception,
learning and integrity of data stream processing; latest solutions in the field of network optimization
[
        <xref ref-type="bibr" rid="ref25">25</xref>
        ] and hardware technologies [26, 27] for high efficiency of network communication; modern
methods and tools for implementing the interface and visualization of the simulator to ensure a high
level of staff learning in e-learning systems according to modern assessment criteria [28, 29].
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Methods and materials</title>
      <p>The section presents the principles of organization and functioning of the short-range navigation
radio system. Short-range navigation systems are designed to determine the navigation parameters that
characterize the position of the aircraft in the polar coordinate system (azimuth, range) relative to the
radio navigation point (radio beacon), the position of which on the ground is precisely known [30].</p>
      <p>The basis of the system is a network of independent ground-based radio beacons, which determine
the navigation parameters. There are azimuth, range finding and azimuth-ranging radio beacons, which
are placed at airfields and at points characteristic of airway sections. Parts of the range of meter and
decimeter waves have been allocated for work. Therefore, their range is limited by the line-of-sight
range [30, 31].</p>
      <p>The main purpose of the short-range navigation system is to bring the aircraft to the landing airfield
and provide navigation when flying along the route over the continental part of the earth's surface.</p>
      <p>According to the classification, short-range radio navigation systems are classified as
goniometerrange radio navigation systems, in which the aircraft's position is determined on board by the
intersection of position lines equal to its azimuth and range relative to the ground radio beacon. Such
systems include an azimuth (goniometer) channel, a ranging channel, and a ground indication channel.
All three channels are used by both ground and airborne devices (complex of ground and onboard
devices) [32].
3.1.</p>
    </sec>
    <sec id="sec-4">
      <title>Requirements for the RSBN simulator</title>
      <p>The purpose of the developed simulator is to simulate the signals of the radio beacon and the aircraft,
emulate the equipment that generates and receive these signals, as well as visualize the navigation
equipment on the side of the radio beacon and the aircraft in relation to the terrain map.</p>
      <p>Multi-purpose use of the software simulator is planned:
 Construction of aircraft flight scenarios.
 Modeling of radio signals passing in the ranging and azimuth channels.
 Simulation of the receiving-transmitting equipment that performs the formation and selection
of signal components.
 Visualization of navigation instruments that control the radio beacon and display the position
of the aircraft relative to the beacon: azimuth (bearing) and distance.
 Verification of real signals and equipment of the short-range radio navigation system.</p>
      <p>The requirements for the simulator are developed in accordance with the fulfillment of the tasks for
the purpose of the RSBN (ensuring the measurement of its azimuth and slant range on board the aircraft
relative to the installation site of the ground equipment (radio beacon), which must be identified on the
aircraft), the need to ensure the compatibility of the onboard and ground equipment of the RSBN,
analysis ICAO requirements [34] for radio navigation aids for aeronautical telecommunications,
certification requirements for ground-based radio technical support in civil aviation, requirements of
the MIL-STD-291C standard [35], ITU recommendations ITU-R M.2013 [36] and performance
analysis modern transponders (responders) RSBN [37].</p>
      <p>The ground equipment simulator should simulate operation in the frequency range from 962 to 1213
MHz. The model of the ranging channel of the RSBN systems provides the determination of the slant
range to the aircraft relative to the radio beacon, depending on the altitude of the aircraft in the zone.
The RSBN azimuth channel provides the determination of the aircraft azimuth relative to the radio
beacon. In the horizontal plane, the ground equipment simulator must have a 360° coverage. When
determining the width of the coverage area in terms of elevation, it is quite acceptable to perform a
review in the vertical plane in the sector of elevation angles from 0° to 45°. The range view area size is
determined by the theoretically possible radio communication range, which is defined as the range of
the radio horizon for aircraft flight altitudes. For a height of 20 km, the range of the radio horizon is
550 km.</p>
      <p>The accuracy of azimuth and slant range measurement is determined by the onboard equipment and
the compliance of the RSBN ground equipment signals with the requirements of their characteristics.
The ground equipment simulator must ensure the reception, formation and emission of signals. In this
case, the deviation of the range response signal delay in the ground transponder (radio beacon) should
not exceed ±0.1 µs, which leads to the introduction of an error of ±15 m into the total range measurement
error on board the aircraft. The accuracy of the azimuth measurement should be 1/3 degree. Slant range
accuracy shall be 926 m (±0.5 miles) or 3% of range, whichever is greater.</p>
      <p>For the operation of ground equipment, it is necessary to allocate 252 frequency channels in the
range from 962 to 1213 MHz with a step of 1 MHz. This makes it possible to implement 126 X
frequency code channels and 126 Y frequency code channels.
3.2.</p>
    </sec>
    <sec id="sec-5">
      <title>Basic principles and operation algorithms</title>
      <p>
        The researched short-range navigation system has two range-finding and azimuth channels [
        <xref ref-type="bibr" rid="ref21">21</xref>
        ]. The
RSBN system configuration is shown in Figure 1.
      </p>
      <p>The ranging channel of the RSBN system consists of an interrogator installed on board the aircraft
and a beacon transmitting responses. Depending on the level of equivalent isotropically radiated power
generated and the design of the interrogator, slant ranges of up to 400 nautical miles (740 km) can be
measured, but in practice the measurement range is limited by the maximum radio line-of-sight (RLOS)
range. The aircraft transmitter emits regular pairs of pulses, the so-called interrogation pulses, which
are received by ground-based installations (beacons). The RSBN system pulses have a duration of 3.5
µs at a 50% amplitude level. The time separation between a pair of request pulses is 12 µs (X channel)
or 36 µs (Y channel). After receiving a pair of interrogation pulses, the ground station checks the shape
of the pulses and the interval between them. If these parameters are within acceptable limits, it transmits
a response after a fixed delay with a frequency offset of ±63 MHz on the interrogation frequency
depending on the selected channel on the pulse code. The interval between beacon response pulses is
12 µs (X channel) and 30 µs (Y channel). After receiving the response, the interrogator calculates the
instantaneous range of the oblique beacon from the time elapsed between receiving a pair of request
pulses and receiving a pair of response pulses.</p>
      <p>The azimuth channel of the RSBN system provides information about the azimuth position of the
aircraft. Azimuth information is provided by applying amplitude modulation of the transmitted pulses
by the ground beacon. This pulse amplitude modulation (PAM) is created by using a mechanically or
electronically scanned beacon antenna. Changing the azimuthal radiation pattern in the form of lobes
with a width of 15-135 Hz with a maximum allowable modulation factor of 55 percent reduces the
signal level of the response pulses by up to 10.7 dB below the maximum level of the equivalent
isotropically radiated pulse power without PAM. In order for the interrogator to decode the northing
antenna pattern orientation data from the PAM, the beacon transmits an additional 900 pulse pairs
consisting of a North Direction Pulse Group (NRPG) and additional Fine Reference Pulse Groups
(RPG). To obtain accurate azimuth information, and to be able to match at least 100 aircraft with 70%
response efficiency, at least 3600 pulse pairs must be continuously transmitted.</p>
      <p>RSBN range/bearing information is used to support on the route, arrival and departure operations,
as well as approach, landing and rendezvous operations. For these applications, RSBN can be used in
conjunction with other navigation aids such as precision approach RADAR and instrument landing
system (ILS). In addition, pilots use RSBN system azimuth information for published flight procedures
and routes for both instrument and visual meteorological conditions (IMC and VMC respectively).</p>
    </sec>
    <sec id="sec-6">
      <title>4. Experiment</title>
      <p>This section describes the software architecture of the RSBN simulator as an emulation of system,
its functionality and visualization modules; describes the planning and conduct of experiments using
the proposed simulator in various modes of operation. The experimental results and their interpretation
are given in the following two sections.
4.1.</p>
    </sec>
    <sec id="sec-7">
      <title>Simulator RSBN</title>
      <p>According to the problem statement, a RSBN simulator was developed, which we will use to
demonstrate and conduct experiments. The proposed simulator (in the form of specialized software)
performs software emulation of the operation of real equipment of the RSBN system components, such
as RSBN system beacons and aircraft avionics.</p>
      <p>The application was developed using Web-technologies according to the principles of client-server
architecture. The simulator software architecture is shown in Figure 2.</p>
      <p>The backend API is built using microservices and is divided into logical parts of aircraft processing
and beacon processing in the RSBN system. The microservices work using the Node.js runtime, and
the microservices are written using the TypeScript programming language, which is an add-on over
JavaScript and has strong typing, and the express library, which provides components for server-side
logic.</p>
      <p>The “Airplane” microservice is responsible for aircraft processing, it allows you to create and store
aircraft flight scenarios and run them on demand.</p>
      <p>Microservice "Beacon" allows you to save the arrangement of stations by saving the position of
beacons on the map by coordinates and their parameters, as well as further editing the parameters of
beacons, for example, visibility radius.</p>
      <p>All microservices are interconnected by an event bus implemented by Redis PubSub functionality.
So, after launching the flight scenario, every second a signal with information about the position of the
aircraft and its parameters such as speed, altitude and direction of flight will be sent to Redis PubSub.</p>
      <p>The “Web Socket” microservice is subscribed to information about the position of the aircraft, as
well as information from the beacons and serves as a connecting part between the Backend API and the
Frontend Web-application for the constant transmission of real-time data for display on the simulator's
user interface.</p>
      <p>In general, the software interface of the Frontend Web-application part is shown in Figure 3 and
represents a real map of the area with target visualization modules and controls.</p>
      <p>Using the user interface, you can place beacons of the RSBN system at any point on the map, where
it is necessary, and set or edit their parameters. Stations are displayed by default as gray icons of
“inactive” stations with their visibility radius shown as a circle.</p>
      <p>Also, the user interface allows you to create aircraft flight routes (scenarios), as in Figure 4.</p>
      <p>Creating an aircraft flight route is carried out by simply placing the corner points of the route, for
which, in the special form “Plane params”, the instantaneous parameters of the altitude and speed of the
aircraft are indicated for this point. The “Scenario Points” table displays information on the corner
points of the route, which includes the coordinates of the point, the direction between this and the
previous point, the speed and altitude of the aircraft at this point.</p>
      <p>Before saving a flight scenario, its name is indicated for further display in the flight scenario selector.</p>
      <p>During the saving of the route, the process of interpolation between points takes place, in which the
points of the position of the aircraft in every second and the parameters of the aircraft at these points
are calculated. Ultimately, all information is saved in a csv file, which, if necessary, can be imported
into any other software or in the flight scenario selector for another user.</p>
      <p>Using the selector of pre-created scenarios, the required flight scenario is launched, which creates a
unique scenario stream, opens a Redis PubSub channel to which the location of the aircraft is sent every
second, followed by displaying its marker on the map, as in Figure 5.</p>
      <p>In the process of processing each point of the scenario, the operation of the onboard aircraft system
is emulated as in Figure 6, aimed at calculating the parameters of beacons in the visibility zone, such
as: slant range (km); direction to beacon (degrees).</p>
      <p>Programmatically, each radar has a variable radius of action in order to conduct experiments with
beacons with different visibility radii. Also, the aircraft radar can programmatically change the radius
for the displayed beacons for ease of display and better readability in the interface.</p>
      <p>The user interface runs in a web browser environment and is built using TypeScript and the React
library, which is used to easily build complex user interfaces. The map uses the Mapbox library, which
uses data from the Open Street Map project to display maps.</p>
      <p>A special kind of flight scenarios are scenarios that consist of a single point. This type of scenario is
necessary to test the behavior of the radar under fully controlled aircraft parameters. After launching
such a scenario and the appearance of the aircraft, the “Plane params” form appears, shown in Figure
7, in which you can edit all the necessary parameters of the aircraft, such as:
 Position on the map, coordinates (lat, lng).
 Aircraft direction (degrees).
 Aircraft speed (km/h).
 Aircraft altitude (m).</p>
      <p>Together with the manual beacon selector in the “Station selector” section, such scenarios allow
testing the correct operation of all system elements.</p>
      <p>The placement of beacons is carried out from the “CTRL” control menu by activating the “ST”
button, after which it is necessary to place the beacons on the map with the mouse, setting parameters
for the beacons such as Distance and Frequency. The result of the placement of RSBN beacons is shown
in Figure 8.</p>
      <p>For already created beacons, you can change their Distance and Frequency parameters using the
form from Figure 9, which displays the default parameters.</p>
      <p>The transition to the creation of a flight route is carried out from the “CTRL” menu by activating
the “FLGT” button, after which it is necessary to indicate the corner points of the aircraft flight using
the mouse on the map. Corner points are those points where there is a change in any flight parameter,
for example, a change in heading, a change in altitude and speed. Several options for creating a route
are available:
 Set of points.
 Two points.
 One point.</p>
      <p>Figure 10 shows the result of creating a route from a set of points. At the bottom, in the “Scenario
points” section, a list of points with instantaneous aircraft parameters at a given point is displayed, and
in “Plane params” the aircraft parameters for the next point are changed.</p>
      <p>Also was created a flight scenario which consists of two points, with a flight from Chuguev to
Boryspil, which is shown in Figure 11 and a single point scenario, which will be used for thin tests.</p>
    </sec>
    <sec id="sec-8">
      <title>5. Results</title>
      <p>According to the plan, experiments were carried out with the launch of flight scenarios, the removal
of parameters at different points in time, and we evaluated the errors by a group of experts.</p>
      <p>The created flight scenario between two points was interpolated into a file with 1065 points, that is,
the entire scenario takes 17 minutes and 45 seconds at a flight speed of 1400 km/h. Distance from
Chuguev to Borispol. The interface takes on the appearance shown in Figure 12, where you can see the
display of the flight route of the aircraft, the station with which the aircraft interacts in the form of a
green marker.</p>
      <p>Figure 13 shows an aircraft radar displaying the beacons in the radar field of view of both the aircraft
system and the beacons. The marker of the beacon selected for interaction turns green and next to it
appears the display of the beacon coordinates, the direction to the beacon and the slant range to it.</p>
      <p>Table 1 shows the parameters taken at different times of the passage of the two-point scenario from
the on-board system of the aircraft, which shows the parameters of the direction and slant range with
respect to the beacon “Sumy airport beacon”, which is located at the coordinates 34.75,50.86.
35
39
43
1000
1000
1000</p>
      <p>Table 2 shows the parameters taken at different times of the passage of the scenario with multiple
points from the onboard system of the aircraft, which shows the parameters of the direction and slant
range with respect to the beacon “Boryspil airport beacon”, which is located at the coordinates
30.89,50.35.</p>
      <sec id="sec-8-1">
        <title>Aircraft position (lat,lng)</title>
      </sec>
      <sec id="sec-8-2">
        <title>Aircraft direction</title>
        <p>(degrees)</p>
        <p>Experiments were also carried out with a scenario consisting of a single point. In this kind of
scenario, the aircraft appears at a certain point and remains stationary. The main controls are the form
for setting the aircraft parameters, where the coordinates, direction and altitude of the aircraft are set,
as well as the beacon selector for switching as in Figure 14. In general, the results of the experiment are
similar to the two previous ones.</p>
      </sec>
    </sec>
    <sec id="sec-9">
      <title>6. Discussions</title>
      <p>The main purpose of the software is to carry out computer simulation of the interaction between the
aircraft onboard system and RSBN beacons by means of a computer, which will reduce costs and
eliminate the need for full-scale experiments with real expensive equipment, which is not even always
possible to obtain. Also, with the help of the simulator, it is possible to demonstrate the principles of
operation of the RSBN for future or existing pilots and for the maintenance personnel of the stations.</p>
      <p>The work carried out on the development and conduct of experiments showed that a computer
simulator allows you to quickly and efficiently conduct experiments to study the operation of all
components of the RSBN system in a common bundle, while being able to control individual parameters
of these components of both aircraft and beacons at any time.</p>
      <p>A convenient and simple interface, as well as wide software capabilities, allow you to quickly create
flight scenarios and place beacons on the map, change parameters if necessary, and carry out real-time
simulation on a real map of the area.</p>
      <p>Support for several types of scenarios allows you to simulate both an aircraft flight close to reality
by fine-tuning aircraft parameters such as speed and altitude and laying the most accurate route, as well
as more experimental ones, such as a flight between two points or even place the aircraft at an arbitrary
point and change it parameters, testing the correctness of the processing results in the on-board system
of the aircraft. Providing training for employees who can interact with the software is easy.</p>
      <p>Evaluation of the results of experiments (simulation) by experts using the procedure for parallel
estimation of azimuth and slant range showed that the simulator provides real-time parameter estimates
with an error that is not statistically significant. In total, more than 100 simulations of various flight
options and interaction between the aircraft and the beacon were carried out.</p>
      <p>For such an assessment, a group of 7 experts in the subject area was involved. Experts with the same
qualifications individually and independently of each other launched flight scenarios, measured
parameters and compared estimates of simulator parameters with observed ones. This was done based
on the use of standard tables (such as Table 1, Table 2). Then, the parameter estimates were averaged,
outliers were detected by the Grubbs criterion, and the voting procedure was implemented. In more than
99% of cases, the results of the evaluation and voting of experts coincided. Only in one case was a
discrepancy found; it was caused by inaccurate data entry. It was corrected upon re-checking. As a
result, with an allowable error in engineering calculations, all expert estimates coincided with the
simulator estimates.</p>
      <p>A comprehensive evaluation of the experimental results showed not only the adequacy of the
estimates of the azimuth and slant range parameters, but also the high efficiency of the simulator as a
whole. Including scripting capabilities and visualization modules.</p>
      <p>The proposed simulator can be used in practice (in online and offline learning systems) to build
aircraft flight scenarios and its interaction with beacons on a real-time map. When using it, it is advisable
to create and use flight scenarios in relation to the terrain, rather than separate routes.</p>
      <p>Further development of the project depends on the demand for the technology in which the simulator
works and includes the deployment of the system in a production environment as an MVP to start real
testing by users who will use the software in their professional activities. By collecting feedback on the
operation of the system and wishes for additional functionality, a further list of functional elements that
can be added to the simulator can be formed.</p>
      <p>At the moment, such functionality can be offered for development as support for multiple aircraft in
a scenario, and integration of new interface elements that simulate the operator's workplace on the
ground, as well as some new elements of the aircraft dashboard.</p>
      <p>Separately, it can be noted that such an opportunity for development (in close cooperation with
experts in the aviation field) is the implementation of support for streaming signals from sensors of real
equipment that determine the position of the aircraft, altitude, speed, heading and other parameters for
further processing inside the simulator.</p>
    </sec>
    <sec id="sec-10">
      <title>7. Conclusions</title>
      <p>The paper analyzes the features of the implementation of modern computer simulators, including
algorithms and technologies, functionality, implementation of the interface and visualization. On this
basis, the requirements were formulated and the specification of the RSBN simulator was developed.</p>
      <p>The basic principles of the organization and functioning of the short-range navigation radio system,
rangefinder and azimuth channels of the radio beacon and aircraft are considered.</p>
      <p>The specification of the proposed implementation of the RSBN simulator software, which simulates
the operation of RSBN components such as the aircraft on-board system and beacons in real time, is
described. The following architecture and component descriptions provide a brief explanation of how
the software works and the technologies used. The stages of planning and conducting experiments based
on the use of scenarios are described, where the main possibilities in working with an ordinary user
simulator in the process of creating flight templates and placing beacons were shown. The experiments
were accompanied by a description of the system's capabilities to derive information from the aircraft's
on-board system sensors, and the measurements themselves were carried out with sufficient accuracy,
which is the main factor in the effectiveness of the simulator as software that provides emulation of the
RSBN system components.</p>
      <p>To evaluate the simulation results, a group of experts was involved, which simultaneously estimated
the azimuth and slant range, compared them with the simulator estimates, evaluated the interface,
capabilities and visual presentation of the results by the simulator. An analysis of the work of experts
showed that the simulator provides real-time parameter estimates with an error that is not statistically
significant. The simulator can be used in practice (in online and offline learning systems) to build
aircraft flight scenarios and its interaction with beacons on a real-time map.</p>
      <p>Recommendations are described regarding the use, as well as the prospects for the development of
the simulator.</p>
    </sec>
    <sec id="sec-11">
      <title>8. References</title>
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