=Paper=
{{Paper
|id=Vol-2533/paper15
|storemode=property
|title=A Method for Constructing a Barker-like Sequences based on Ideal Ring Вundles
|pdfUrl=https://ceur-ws.org/Vol-2533/paper15.pdf
|volume=Vol-2533
|authors=Oleg Riznyk,Yurii Kynash,Bohdan Balych,Roksolana Vynnychuk,Igor Kret,Hakan Kutucu
|dblpUrl=https://dblp.org/rec/conf/dcsmart/RiznykKBVKK19
}}
==A Method for Constructing a Barker-like Sequences based on Ideal Ring Вundles==
https://ceur-ws.org/Vol-2533/paper15.pdf
A Method for Constructing a Barker-like Sequences
Based on Ideal Ring Bundles
Oleg Riznyk1[0000-0002-3815-043X], Yurii Kynash1[0000-0002-3762-3215],
Bohdan Balych1[0000-0003-3610-7355], Roksolana Vynnychuk1[0000-0002-4727-395X],
Igor Kret1[0000-0002-2009-8397], Hakan Kutucu2[0000-0001-7144-7246]
1 Lviv Polytechnic National University, Lviv, Ukraine
{riznykoleg, yuk.itvs, balych@lp.edu.ua,
vynnychuk.roksolana}@gmail.com, kret@vikk.com.ua
2 Karabuk University, Karabuk, Turkey
hakankutucu@karabuk.edu.tr
Abstract. To date, all major reserves for improving the quality of wireless
communication are almost exhausted. It is becoming clear to all wireless net-
work designers and manufacturers that instead of using the standard principles
of network efficiency enhancement, they should focus their efforts on imple-
menting other principles of radio exchange by creating new code sequences.
The Barker-like sequence is taken as the main sequence, and then each element
of the main sequence is replaced by a direct or inverse additional Barker-like
sequence, depending on whether there is zero or one in the main Barker-like se-
quence. An algorithm for the synthesis of Barker-like sequences using ideal
ring bundles of different types is proposed. The method of constructing Barker
combined signals and their autocorrelation functions are considered. The simu-
lation of the obtained Barker-like sequences in the LabVIEW software envi-
ronment is performed.
Keywords: Barker code; Barker-like code; Barker sequence; Barker-like se-
quence; Combined signal; Cross-correlation function; Ideal ring bundle.
1 Introduction
In modern systems of information collection and processing, the number of different
autonomous sensors that provide telemetric control objects is constantly increasing,
respectively, increasing their accuracy and speed. The flow of information from sen-
sors to higher-level control systems becomes more intense [1].
As a result of increasing the performance of microcontrollers and reducing their
cost, closed local control systems for individual modules of technological systems
appear. There are robotic devices that can operate autonomously or under the control
of global commands from an external control system [2].
Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License
Attribution 4.0 International (CC BY 4.0)
2019 DCSMart Workshop.
The development of these systems is only possible with the improvement of intel-
ligent sensors that can be easily integrated into data collection systems. In short, mod-
ern sensors should have developed interfaces and standardized data formats [3].
Beyond that, with the penetration of microprocessor-based control systems into
smaller-sized objects, the requirements for mass-scale characteristics and reliability of
these devices are steadily increasing. For operation of control systems in highly noisy
communication lines, including in power lines, resident noise-resistant channel coding
of data using Barker-like sequences of any length is proposed [4].
In the data transmission and reception channels solve the problem of signal detec-
tion or the problem of signal discrimination, which can be considered as a special case
of the problem of detection [5]. Receiving correlation is more efficient than more
complex useful signal [6]. But not all complex signals are equally effective for solv-
ing the detection problem [7].
The best ones, for which the ratio of the N peak of the autocorrelation function
(ACF) to the lateral particles is the highest. These signals in the form of binary se-
quences are known and commonly used, the so-called Barker signals (sequences) [8].
2 Review of the Literature
Modern systems of data transmission have many characteristics, but the main one is
the protection of data transmission from interference. In addition, the current problem
in our time is the ability to increase the protection of the impedance with fixed
speed [9].
The purpose of the work is to develop such a method of noisy encoding, with the
use of which it was possible to improve the system to protect the transmission of in-
formation from impedances.
The practical implementation of the work is to find the Barker sequences, in which
the values of the main petal to the side petal is higher than the standard Barker codes.
Without them, it will not be possible to solve the encoding problem of integrated re-
sistance protection. [10].
Noise-like signals can be used in various communication systems. This is achieved
by protecting high impedance from narrowband high-power interference. Signals
redefine the possibilities of subscriber separation by codes, secrecy of data transmis-
sion and high resistance to high-frequency broadenings.
With the help of high-resolution noise-like signals for radar and navigational
measurements, their location can always be determined. [11].
3 Problem Statement
It is very important to choose a pseudorandom code sequence in a radio engineering
system, since its parameters depend on the enhancement of the processing of the sys-
tem, its impedance and sensitivity. With the same code sequence length, the system
parameters may be different in terms of interference protection, transmission speed,
etc [12].
When using noisy signals, code combinations should be given certain mathemati-
cal characteristics, the most important of which is autocorrelation. Barker's sequences
meet these requirements. It is clear that attempts to find Barker's sequences do not
have the number of decision elements [13].
There are only 7 Barker signals, the longest of them being 13 characters and relat-
ed to the ASF main peak height to the side N = 13 . This property makes it possible to
reliably detect such signal at signal / interference S / I 1 [14].
In the least noise-resistant channels, such as control channels for unmanned aerial
vehicles, classic Barker signals do not provide the necessary reliability for their detec-
tion. Development of algorithm for construction of analogical sequences of Barker is
actual with the number of elements on the basis of ideal ring bundles (IRB) [15].
4 Algorithm of Synthesis of Barker-like Sequences
The method of construction on the basis of family of ideal ring bundle on the criterion
of minimum value of autocorrelation function of discrete signal consists in the follow-
ing:
• to choose the variant of ideal ring bundle of the set order N of necessary length
L N of multipleness R ;
• to build a LN - position code i , i = 1,2,..., LN with an one-level periodic autocor-
relation function, based on the chosen variant of IRB (k1, k2 ,..., kl ,..., k N ) , where
on N positions of sequence with serial numbers xl , l = 1,2,...,N , where deter-
mined with next formula:
l
xl 1 + ki (mod L ) ,
N (1)
i =1
where place numbers "1", and on the rest L N − N positions - numbers "-1".
For the construction of Barker-like sequences we choose those sequences from the
different families of IRB, where correlation is N / R 2 .
Consider the example of constructing Barker-like sequences based on the IRB in
accordance with a given algorithm, where N = 12 , LN = 28 , R = 5 .
For example, from the two existing variants of the IRB N = 12 , constructed using
the sampling displacement algorithm, we select the first type of IRB:
1, 1, 3, 1, 1, 7, 2, 2, 3, 3, 3, 1.
Let's synthesize a sequence with code LN = 28 . We place the characters "1" ac-
cording to the formula (4) in twelve positions ( N = 12 ) , while the rest of the position
is filled with the symbols "-1":
A resulting Barker-like sequence with a "no longer match" property for which the
value of autocorrelation function does not exceed 2 (except the main petal):
In this case, the ratio of the main lobe to another is 14, which is more than in the
classical Barker sequences. Similarly, we can obtain variants of Barker-like sequences
with the indicated properties by selecting other families of IRBs.
Therefore, the use of IRB for the synthesis of Barker-like sequences facilitates
their construction, applying the results of constructing various families of IRBs [16].
It also makes it easier to search for complete families of these configurations, look-
ing among them for Barker-like sequences with better characteristics.
Except for well-known families of Singer, a few families of IRB are known [16].
Will transfer them with a short description (Fig. 1).
Fig. 1. Families of ideal ring bundles
All of these ideal ring bundle families can be used to synthesis Barker sequences
and Barker-like sequences [17].
5 Synthesis of Combined Barker-like Sequences
Signals with a higher ratio than Barker signals are proposed. Methods for searching
such sequences are described by the authors in [18]. One method is based on a com-
bination of Barker signals.
The Barker sequence is taken as the main sequence, and then each element of the
basic sequence is replaced by a direct or inverse additional Barker sequence, depend-
ing on whether there are zero or one in the Barker basic sequence [19].
Of all possible pair combinations of Barker basic and additional sequences, only 10
sequences satisfy our requirements: 3×4,1; 3×3; 3×7; 3×11; 7×3; 7×7; 7×11; 11×3;
11×7; 11×11, where the first number is the main Barker sequence and the second
number is the additional Barker sequence [20].
For instance, for the 11×11 sequences, the basic sequence is 11100010010, and the
additional sequence is 11100010010, then the new sequence looks like:
111000 10010 111000 10010 111000 10010 000 11101101
1 1 1 0
000 11101101 000 11101101 111000 10010 000 11101101
0 0 1 0
000 11101101 111000 10010 000 11101101
0 1 0
In Fig. 2-10 are the ACF of new signals. We see that 9 of them are built from com-
binations 3, 7 and 11 only.
The ACF 3×4 signal is shown separately in Fig. 11 because it falls out of the gen-
eral pattern [21].
Fig. 2. ACF signals 3×3
Fig. 3. ACF signals 3×7
Fig. 4. ACF signals 3×11
Fig. 5. ACF signals 7×3
Fig. 6. ACF signals 7×7
Fig. 7. ACF signals 7×11
Fig. 8. ACF signals 11×3
Fig. 9. ACF signals 11×7
Fig. 10. ACF signals 11×11
Fig. 11. ACF signal 3×4
The authors carried out studies on noise protection of new signals using modeling
in the LabVIEW software environment shown in Fig. 12.
Fig. 12. Barker-like signals by modeling in the LabVIEW software environment
Detection of a new signal becomes difficult only when the Barker`s signal + inter-
ference ratio S / I = 1/ 43 [22].
The signals of automation, telemechanic and communication systems, formed in
accordance with the found sequences, can be reliably distinguished from interference,
many times more powerful than the signals themselves.
Such signals can be equally successfully used for transmitting commands and for
reliable synchronization [23].
6 Conclusion
With the developed application the code with a number of discrete numbers over 13 is
searched.
A unique sequence was found that resembles a barker-like sequence for phase-
manipulated signals over 13 periods that have a minimum achievable level of lateral
particle correlation function for this number of judgments.
Thus, the possibility of constructing a barker-like sequence s with the help of ideal
ring bundles is shown, as well as creating efficient algorithms for their construction.
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