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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Interference Immunity of Signal Processing in the Presence of Interferences in Information System by Means of Optimal Loading Matching</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Maxim V. Grachev</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yury N. Parshin</string-name>
          <email>parshin.y.n@rsreu.ru</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Ryazan State Radio Engineering University</institution>
          ,
          <addr-line>Ryazan</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <fpage>41</fpage>
      <lpage>47</lpage>
      <abstract>
        <p>An information system with multi-channel receiving system and mutual in uence of channels is considered. Signal and interference are spatially concentrated sources of radio emission. The mutual in uence of channels is researched by calculating the matrix of mutual impedances for thin vibrators. The magnitude of the load impedances in individual channels in uences the resulting signal-to-interference ratio. Also, the value of the load impedances depends on correlation properties of the signal and interference at the input of the spatial channels. It complicates the problem of optimal matching. The problem of nding the optimal load impedances as a function of the signal-interference ratio is solved. The solution of the optimization problem is carried out by a numerical analysis using the MatLab or, in a particular case, by the analytical method. The optimal load impedances are compared depending on the degree of mutual in uence of the channels of the information system, spatial structure, and interference parameters. Comparing the optimum load impedances, spatial structure and parameters of interferences is carried out depending on a degree of mutual in uence of the information system channels. The output signal-interference ratio behavior at di erent values of the load impedances is researched. The gain of optimal matching versus the load impedances is calculated in the absence of mutual in uence and in the case of applying non-optimal mutual impedances when there is the mutual in uence.</p>
      </abstract>
      <kwd-group>
        <kwd>Interference mutual in uence</kwd>
        <kwd>mutual impedances</kwd>
        <kwd>information system</kwd>
        <kwd>signal processing</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Evolution of the integral semiconductor technology, microwave solid state high
e ciency ampli ers, and super high frequency digital circuitry stimulate design
of radio systems with signal processing in spatial channels of antenna array (AA)
[1 { 3]. Often, characteristics of the AA are obtained without mutual in uence
of the elements. It is obtained with multiplying the beam pattern of one element
by the factor AA. If there is a signi cant mutual in uence of the elements, the
characteristics of a real antenna can di er from the calculated characteristics.
In paper [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ], the e ect of mutual coupling on the performance of adaptive
antennas has been a topic of considerable interest. The mutual in uence can lead
to deterioration and improvement of antenna array characteristics. For adaptive
antennas based on minimizing the mean squared error between the array output
and a locally generated reference signal, the mutual coupling between antenna
elements hardly a ects the nulling performance of adaptive antennas. In fact, in
a given size aperture, as the number of antenna elements is increased one obtains
better nulling performance irrespective of the increased mutual coupling between
antenna elements. Paper [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ] deals with the near- eld DOA-Matrix method for
source localization using a uniform linear array antenna. The mutual coupling
between array elements degrades the DOA estimation accuracy. In uence of the
mutual coupling in source localization using the near- eld DOA-Matrix method
and the improved method is investigated. Paper [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ] deals with direction-of-arrival
estimation for very closely spaced dipoles. The mutual coupling can produce
amplitude and phase di erence of embedded element patterns, which can be utilized
to greatly improving the direction-of-arrival estimation performance by
incorporating the pattern diversity into the estimation algorithm. In paper [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], there
is analysis of the noise immunity of signal processing in the antenna array with
in uence of the elements in the form of thin vibrators in presence of the spatially
concentrated and spatially extended jammers. It is established that mutual
inuence can lead to both increase and a decrease in noise immunity. In paper [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ],
analysis of nonlinear properties of receiver channels for coherent and noncoherent
composition of intermodulation interferences at output of each RF stage is
performed. Spatial correlation matrices of the sum of active and intermodulation
interferences for active antenna array are evaluated with and without mutual
in uence of the antenna elements. The results of recent studies prove the
importance of mutual in uence the basic characteristics of radio systems. The mutual
in uence of the antenna elements a ects not only the directivity characteristics
of the antenna array and the signal-to-noise ratio at its output, but, also, the
output impedances of each of the AA elements [
        <xref ref-type="bibr" rid="ref10 ref9">9, 10</xref>
        ]. The value of the output
impedances in the presence of mutual in uence of the elements of the AA also
depends on the amplitude-phase relations of the signals and the noise. The choice
of load impedances is a di cult computational task. The object of this work is
to investigate the in uence of the mutual impedances of the antenna array to
the noise immunity of signal processing in the presence of spatially concentrated
noise. Matching the impedance load of the antenna elements is important for
di erent signals, interference parameters, and the spatial structure of the AA.
2
      </p>
    </sec>
    <sec id="sec-2">
      <title>Statement of problem</title>
      <p>The antenna array includes N omnidirectional elements arranged in a certain
way in space. In space, there are signal source of variance DS and M
interference of variance Dm; m = 1; : : : ; M . The spatial position of signal sources and
interference is de ned by the vectors V S and V m; m = 1; : : : ; M respectively.
The spatial correlation matrices of the signal and interference in the elements of
the antenna array are equal to RS = DS V S V SH; RJ =
the sign H means Hermitian transpose.</p>
      <p>
        The mutual in uence of the antenna array elements a ects to the
characteristics of the signal and interference at output. The value of mutual in uence
is characterized by a matrix of mutual impedances Z [
        <xref ref-type="bibr" rid="ref10 ref9">9,10</xref>
        ]. The electric eld
strength in the vicinity of AA is related to the voltage at the load impedances of
the AA elements by the relation U = Z L(Z + Z L) 1J [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], where Z L is the
diagonal matrix with a vector of load impedances V L on the main diagonal. As a
result, the correlation interference matrices and the form of the output sugnal at
the AA elements are: RU = Z 1RJ Z 1H; S 1 = Z 1S ; where Z 1 = Z L(Z + Z L) 1
means the coe cient of signal transmission from the inputs of the AA elements
to their outputs.
      </p>
      <p>In addititon to external interference, there are internal noise in the system
caused by losses from the diagram-making circuit and frontend of receivers of the
active antenna. The total noise power associated to AA elements load is equal
to
M
P DmV mV Hm; where
m=1
Pn = kT
f</p>
      <p>Re
( R11</p>
      <p>ZL</p>
      <p>2)
ZL</p>
      <p>ZL + Z11
+ N F
!
1 ;
where k = 1; 38 10 23J=K is the Boltzmann constant, T is the temperature
(degrees Kelvin), f is the bandwidth, R11 is the active component of the
antenna element impedance equal to the emitting resistance, ZL is the load
impedance, N F is the frontend noise factor. Power of the signal in the load
of the antenna element is: PS = Re n jUj2 o. As a result, the signal-to-noise
ZL
ratio q = PS =Pn depends on the load impedance. Next, it should be taken into
account the load impedance optimization. In the antenna array, we assume that
the noises in the impedance load are not correlated to each other and have a
diagonal correlation matrix RT with signal power vector:</p>
      <p>P T = fPn; n = 1; : : : ; N g
on the main diagonal.</p>
      <p>The correlation matrix of the interference, which emitted in the load
impedance is equal to RIL = U LU LH, where U L = U pRe f1=V Lg =
= UnpGn; n = 1; : : : ; N is the normalized value of interference at the load
impedance, Gn; n = 1; : : : ; N , is the active conductivity of the load. As a result,
the correlation matrix of noise and noise at the output of AA elements with
taking into account their mutual in uence is equal to</p>
      <p>R1 =</p>
      <p>Z 1RJ Z 1H
pRe f1=V Lg
pRe f1=V Lg</p>
      <p>
        T
+ RT :
The signal at the load impedance is equal to S L = (Z 1S ) pRe f1=V Lg. The
signal-to-interference ratio is obtained as a result of optimal processing the
signal from the output of the elements AA. It is equal to [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ] q = S LHR1 1S L:
      </p>
    </sec>
    <sec id="sec-3">
      <title>Interference immunity evaluation</title>
      <p>
        There is calculating of the signal-to-noise ratio depending of the receiving system
spatial structure with di erent modes of the load matching. Suppose that the
elements of AA are equidistant and that the AA is spatially linear. The
calculation is carried out for antenna elements in the form of thin vibrators, which are
located vertically. The value of the mutual impedance between two any vibrators
is equal to [
        <xref ref-type="bibr" rid="ref11 ref9">9,11</xref>
        ]
      </p>
      <p>n
Z1 = 30 2Ei(jk0d)
2Eih</p>
      <p>jk0(pd2 + L2 + L)i
where Ei( jx) = Ci(x) jSi(x) is the integral exponential function. It is
calculated on the basis of the functions of the integral cosine and integral sine
with k = 2 as the wave number, d the distance between the vibrators, L the
length of vibrator. With a large spatial separation of the vibrators AA, the
mutual in uence becomes insigni cant and the matrix of mutual impedances is
Z = I (73:1 + j42:5) :</p>
      <p>Optimization of the load impedance is a di cult calculational problem.
Commonly, it solved by numerical methods. The optimal load impedances also depend
on the angular position of the signal and the interference sources.</p>
      <p>Consider an example of an analytical solution of the problem of optimal
matching for an antenna array with two elements (N = 2). The eld of each
antenna element is inphase. This ensures the symmetry of the problem. With
a large distance between the elements, the mutual coupling is negligible. The
output resistance of a thin vibrator is equal to (73:1 + j42:5) . Optimal value
of each of the antenna elements loads impedance ZL = (73:1 + j42:5) : An
equivalent circuit that shows the e ect of the mutual impedance of the AA
elements is given in Fig. 1.</p>
      <p>In the example, the currents in the circuit of each antenna element are the
same and equal I = Zl+E2Z12 : The power in the load of one of the elements is P1 =</p>
      <p>E2RL
jZl+2Z12j2 . The maximum value of the power is achieved with compensation of
the reactive impedance in the denominator ImZL = 2ImZ12 ImZ11: Solution
of the optimization problem max(RL)P1(RL) gives the values of the optimum
load resistance RLopt = ReZ11 + 2ReZ12:</p>
      <p>In the more general case of several antennas, optimization of the load
impedances is performed by numerical method (using the fminsearch function in the
MatLab). It should be noted that in order to obtain achievable values of the
load impedances, it is necessary to introduce constraints. The real part of the
impedances be nonnegative. To nding an optimum close to the global optimum,
the value obtained at the previous step of calculating the dependence is chosen
as the initial value of the impedances.</p>
      <p>Optimization of the load impedance was carried out for various values of load
impedances
{ without the mutual in uence of antenna elements; for all elements impedance
is equal to ZL0 = 73:1 j42:5 ; the solid line graphic in Fig. 2;
{ with the mutual in uence of the antenna elements in the form of thin vibrators;
for all elements the impedances is equal to ZL0 = 73:1 j42:5 ; the dashed line
graphic in Fig. 2;
{ with the mutual in uence of the antenna elements in the form of thin
vibrators, the impedances were obtained as a result of optimization by the numerical
method in the MatLab; the dotted line graphic in Fig. 2.</p>
      <p>a) N F = 0:4 dB
b) N F = 10 dB
dB. Angular interference positions were 350; 200; 700, direction of the arrival
of the signal is perpendicular to the plane of the AA elements placement.</p>
      <p>Bene ts 5 : : : 8 dB of the gain in relation to the signal interference were
obtained as a result of optimization of load impedances. The bene ts from the
load impedances optimization are especially noticeable for small distances
between AA elements d= = 0:1; : : : ; 0:3: With an increase of the frondend noise
factor, the gain from optimizing the spatial structure decreases and it is
signi cant (Fig.2.) With a decrease in the frontend noise gure, the fminsearch
optimization procedure is unstable (there is not well-de ned optimum). For the
technical implementation of the optimal matching principle, it is necessary to
know the dependence of the load impedances on the operating conditions of the
AA. Figure 3 shsows the dependence of the norm of the di erence on the load
impedance vector and the value ZL0 the distance between the AA (N F = 0:4
dB). Increasing the noise gure N F &gt; 10 dB enhances optimization process
stability. The value of load impedance approaches to ZL0.
The multi channel information system with active antenna array is investigated.
As a result of the research, it was established that the matching impedance of the
load has a great in uence onto increasing the noise immunity of signal processing
in the antenna array with mutual in uence of the elements. The calculations for
the antenna array in the form of thin vibrators (with small distances between)
show a gain from the optimization of the load impedance of 5 : : : 8 dB. This
should be taken into account when performing optimization of the spatial
structure of the multi channel information system involving of heavily lled antenna
arrays.
5</p>
    </sec>
    <sec id="sec-4">
      <title>Acknowledgment</title>
      <p>The research was supporeted by the Ministry of education and science of the
Russian federation project no. 8.2810.2017 in the Ryazan State Radio
Engineering University.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Mortazwi</surname>
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Itoh</surname>
            <given-names>T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Harvey</surname>
            <given-names>J</given-names>
          </string-name>
          .:
          <article-title>Active antennas and quasi-optical array</article-title>
          . WileyIEEE Press (
          <year>1999</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2. Randy L.
          <article-title>Haupt: Timed arrays: wideband and time varying antenna arrays</article-title>
          , WileyIEEE Press (
          <year>2015</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3. Hansen Robert C.
          <article-title>: Phased array antennas</article-title>
          , vol.
          <volume>213</volume>
          . John Wiley &amp; Sons (
          <year>2009</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4.
          <string-name>
            <surname>Svendsen</surname>
            <given-names>S.C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gupta</surname>
            <given-names>I.J.:</given-names>
          </string-name>
          <article-title>The e ect of mutual coupling on the nulling performance of adaptive antennas</article-title>
          .
          <source>In IEEE Antennas and propagation magazine</source>
          .
          <volume>54</volume>
          (
          <issue>3</issue>
          ),
          <volume>17</volume>
          {
          <fpage>38</fpage>
          (
          <year>2012</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5.
          <string-name>
            <surname>Tanaka</surname>
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kikuma</surname>
            <given-names>N.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sakakibara</surname>
            <given-names>K.</given-names>
          </string-name>
          :
          <article-title>In uence of mutual coupling between array elements in location estimation of radio sources using near- eld DOA-matrix method</article-title>
          .
          <source>In 2016 International symposium on antennas and propagation (ISAP)</source>
          ,
          <volume>1024</volume>
          {
          <fpage>1025</fpage>
          ,
          <string-name>
            <surname>Okinawa</surname>
          </string-name>
          (
          <year>2016</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          6.
          <string-name>
            <surname>Liu</surname>
            <given-names>Y.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Xiong</surname>
            <given-names>X.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Chen</surname>
            <given-names>S.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Liu</surname>
            <given-names>Q.H.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Liao</surname>
            <given-names>K.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhu</surname>
            <given-names>J</given-names>
          </string-name>
          .:
          <article-title>Direction-of-arrival estimation for closely coupled dipoles using embedded pattern diversity</article-title>
          .
          <source>In 2013 Proceedings of the international symposium on antennas and propagation</source>
          ,
          <volume>467</volume>
          {
          <fpage>469</fpage>
          ,
          <string-name>
            <surname>Nanjing</surname>
          </string-name>
          (
          <year>2013</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          7.
          <string-name>
            <given-names>Tan</given-names>
            <surname>Hong</surname>
          </string-name>
          <article-title>Wee: The e ect of element mutual coupling of the performance of adaptive arrays</article-title>
          .
          <source>Naval Postgraduate School</source>
          , Monterey, California (
          <year>1999</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8.
          <string-name>
            <given-names>Parshin</given-names>
            <surname>Yu</surname>
          </string-name>
          .N.,
          <string-name>
            <surname>Kolesnikov</surname>
            <given-names>S.V.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Grachev</surname>
            <given-names>M.V.</given-names>
          </string-name>
          :
          <article-title>Intermodulation interferences immunity in receiving path of active antenna array based on NI USRP-2943 SDR transceivers</article-title>
          .
          <source>In 11th IEEE International conference on application of information and communication technologies AICT2017</source>
          .
          <source>Conference proceedings</source>
          , vol.
          <volume>2</volume>
          . 75{
          <fpage>78</fpage>
          .
          <string-name>
            <surname>Moscow</surname>
          </string-name>
          (
          <year>2017</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9.
          <string-name>
            <surname>Markov</surname>
            <given-names>G.T.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Sazonov</surname>
            <given-names>D.M.</given-names>
          </string-name>
          :
          <string-name>
            <surname>Antenny</surname>
          </string-name>
          .
          <article-title>Uchebnik dlya studentov radiotekhnicheskih special'nostej vuzov (Antennas. Tutuorial for studentds of radio engineering specialities of universities)</article-title>
          .
          <source>M.: Energiya</source>
          , (
          <year>1975</year>
          )
          <article-title>(in Russian)</article-title>
          .
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          10.
          <string-name>
            <surname>Kraus J.D.</surname>
          </string-name>
          : Antennas.
          <string-name>
            <surname>McGraw-Hill</surname>
          </string-name>
          (
          <year>1950</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          11.
          <string-name>
            <surname>Monzingo</surname>
            <given-names>R.A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Miller</surname>
            <given-names>T.W.</given-names>
          </string-name>
          :
          <article-title>Introduction to adaptive array</article-title>
          . John Wiley &amp; Sons (
          <year>1980</year>
          ).
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          12.
          <string-name>
            <surname>Hansen R.C.</surname>
          </string-name>
          <article-title>: Phased array antennas</article-title>
          .
          <source>Second edition</source>
          . John Wiley and Sons (
          <year>2009</year>
          ).
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>