<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">radioelectronics</journal-id><journal-title-group><journal-title xml:lang="ru">Известия высших учебных заведений России. Радиоэлектроника</journal-title><trans-title-group xml:lang="en"><trans-title>Journal of the Russian Universities. Radioelectronics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1993-8985</issn><issn pub-type="epub">2658-4794</issn><publisher><publisher-name>Saint Petersburg Electrotechnical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32603/1993-8985-2020-23-5-37-45</article-id><article-id custom-type="elpub" pub-id-type="custom">radioelectronics-466</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>РАДИОТЕХНИЧЕСКИЕ СРЕДСТВА ПЕРЕДАЧИ, ПРИЕМА И ОБРАБОТКИ СИГНАЛОВ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RADIO ELECTRONIC FACILITIES FOR SIGNAL TRANSMISSION, RECEPTION AND PROCESSING</subject></subj-group></article-categories><title-group><article-title>Probability of Pulse Overlap as a Quantitative Indicator of Signal Environment Complexity</article-title><trans-title-group xml:lang="en"><trans-title>Probability of Pulse Overlap as a Quantitative Indicator of Signal Environment Complexity</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4144-222X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Podstrigaev</surname><given-names>А. S.</given-names></name><name name-style="western" xml:lang="en"><surname>Podstrigaev</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Alexey S. Podstrigaev, Cand. Sci. (Eng.) in Radar and Radio Navigation (2016), Associate Professor of the Department of Radio-Electronic Means, Head of Research Laboratory at JSC "Research Institute "Vector", 5 Professor Popov St., St Petersburg 197376, Russia</p></bio><bio xml:lang="en"><p>Alexey S. Podstrigaev, Cand. Sci. (Eng.) in Radar and Radio Navigation (2016), Associate Professor of the Department of Radio-Electronic Means, Head of Research Laboratory at JSC "Research Institute "Vector", 5 Professor Popov St., St Petersburg 197376, Russia</p></bio><email xlink:type="simple">ap0d@ya.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3250-4997</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Smolyakov</surname><given-names>А. V.</given-names></name><name name-style="western" xml:lang="en"><surname>Smolyakov</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Andrey V. Smolyakov, Bachelor in Radio Engineering (2020), Design Engineer at JSC "Research Institute "Vector", 5 Professor Popov St., St Petersburg 197376, Russia</p></bio><bio xml:lang="en"><p>Andrey V. Smolyakov, Bachelor in Radio Engineering (2020), Design Engineer at JSC "Research Institute "Vector", 5 Professor Popov St., St Petersburg 197376, Russia</p></bio><email xlink:type="simple">andreismolyakow@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4630-5382</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Maslov</surname><given-names>I. V.</given-names></name><name name-style="western" xml:lang="en"><surname>Maslov</surname><given-names>I. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Igor V. Maslov, PhD in Computer Science (2008, City University of New York), co-founder at the start-up R&amp;D company, member of the Association for Computing Machinery, member of IEEE, 1-24-16 Sasazuka, Shibuya-ku, Tokyo, Japan</p></bio><bio xml:lang="en"><p>Igor V. Maslov, PhD in Computer Science (2008, City University of New York), co-founder at the start-up R&amp;D company, member of the Association for Computing Machinery, member of IEEE, 1-24-16 Sasazuka, Shibuya-ku, Tokyo, Japan</p></bio><email xlink:type="simple">gmaslov18@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Saint Petersburg Electrotechnical University<country>Россия</country></aff><aff xml:lang="en">Saint Petersburg Electrotechnical University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">EvoCo Inc.<country>Япония</country></aff><aff xml:lang="en">EvoCo Inc.<country>Japan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>23</day><month>11</month><year>2020</year></pub-date><volume>23</volume><issue>5</issue><fpage>37</fpage><lpage>45</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Podstrigaev А.S., Smolyakov А.V., Maslov I.V., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Podstrigaev А.S., Smolyakov А.V., Maslov I.V.</copyright-holder><copyright-holder xml:lang="en">Podstrigaev A.S., Smolyakov A.V., Maslov I.V.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://re.eltech.ru/jour/article/view/466">https://re.eltech.ru/jour/article/view/466</self-uri><abstract><sec><title>Introduction</title><p>Introduction. Simultaneous operation of numerous sources of radio emission form complex signal environment. Different devices with the common name “wideband analyzers” (WBA) are widely used to analyze and to control such environment. There is currently a need for developing the quantitative characteristics of a complex signal environment, which will make it possible to predict the stability of the WBA operation.</p></sec><sec><title>Aim</title><p>Aim. The development of the indicator of the signal environment complexity, which will make possible the quantitative assessment of such environment.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. To provide the desired indicator, simulation and mathematical tools for random events description are used. All calculations are performed using MatLab.</p></sec><sec><title>Results</title><p>Results. The principles of disturbances in the WBA receiver and algorithmic errors in the processing of overlapped signals are described. To quantify the “complexity” of the signal environment it is proposed to use the probability that pulses from several sources overlap in time. This allows one to compare signal environments with each other. The new analytical expression for estimating the pulse overlap probability is proposed. Functions of the pulse overlap probability from the complex signal environment parameters were obtained.</p></sec><sec><title>Conclusion</title><p>Conclusion. According to the comparative analysis of the calculations using proposed analytical expression and simulation, the new expression allows one to achieve the calculation speed up to 6 orders of magnitude higher with an error below 7% compared to the simulation. The high performance of the calculations using the proposed expression allows one to simulate the complex signal environment in dynamics more efficiently.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Introduction</title><p>Introduction. Simultaneous operation of numerous sources of radio emission form complex signal environment. Different devices with the common name “wideband analyzers” (WBA) are widely used to analyze and to control such environment. There is currently a need for developing the quantitative characteristics of a complex signal environment, which will make it possible to predict the stability of the WBA operation.</p></sec><sec><title>Aim</title><p>Aim. The development of the indicator of the signal environment complexity, which will make possible the quantitative assessment of such environment.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. To provide the desired indicator, simulation and mathematical tools for random events description are used. All calculations are performed using MatLab.</p></sec><sec><title>Results</title><p>Results. The principles of disturbances in the WBA receiver and algorithmic errors in the processing of overlapped signals are described. To quantify the “complexity” of the signal environment it is proposed to use the probability that pulses from several sources overlap in time. This allows one to compare signal environments with each other. The new analytical expression for estimating the pulse overlap probability is proposed. Functions of the pulse overlap probability from the complex signal environment parameters were obtained.</p></sec><sec><title>Conclusion</title><p>Conclusion. According to the comparative analysis of the calculations using proposed analytical expression and simulation, the new expression allows one to achieve the calculation speed up to 6 orders of magnitude higher with an error below 7% compared to the simulation. The high performance of the calculations using the proposed expression allows one to simulate the complex signal environment in dynamics more efficiently.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>complex signal environment</kwd><kwd>wideband signal analysis</kwd><kwd>pulse overlap probability</kwd><kwd>pulse sequences overlap</kwd><kwd>pulse trains overlap</kwd><kwd>signal environment analysis</kwd></kwd-group><kwd-group xml:lang="en"><kwd>complex signal environment</kwd><kwd>wideband signal analysis</kwd><kwd>pulse overlap probability</kwd><kwd>pulse sequences overlap</kwd><kwd>pulse trains overlap</kwd><kwd>signal environment analysis</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Soltanmohammadi E., Ghavami K., Naraghi-Pour M. A Survey of Traffic Issues in Machine-to-Machine Communications Over LTE. IEEE Internet of Things Journal, 2016, vol. 3, no. 6, pp. 865–884. doi: 10.1109/JIOT.2016.2533541</mixed-citation><mixed-citation xml:lang="en">Soltanmohammadi E., Ghavami K., Naraghi-Pour M. A Survey of Traffic Issues in Machine-to-Machine Communications Over LTE. IEEE Internet of Things Journal, 2016, vol. 3, no. 6, pp. 865–884. doi: 10.1109/JIOT.2016.2533541</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Wang B., Xu Q., Chen C., Zhang F., Liu K. J. R. The Promise of Radio Analytics: A Future Paradigm of Wireless Positioning, Tracking, and Sensing. IEEE Signal Processing Magazine, 2018, vol. 35, no. 3, pp. 59–80. doi: 10.1109/MSP.2018.2806300</mixed-citation><mixed-citation xml:lang="en">Wang B., Xu Q., Chen C., Zhang F., Liu K. J. R. The Promise of Radio Analytics: A Future Paradigm of Wireless Positioning, Tracking, and Sensing. IEEE Signal Processing Magazine, 2018, vol. 35, no. 3, pp. 59–80. doi: 10.1109/MSP.2018.2806300</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Jaber M., Imran M. A., Tafazolli R., Tukmanov A. 5G Backhaul Challenges and Emerging Research Directions: A Survey. IEEE Access, 2016, vol. 4, pp. 1743–1766. doi: 10.1109/ACCESS.2016.2556011</mixed-citation><mixed-citation xml:lang="en">Jaber M., Imran M. A., Tafazolli R., Tukmanov A. 5G Backhaul Challenges and Emerging Research Directions: A Survey. IEEE Access, 2016, vol. 4, pp. 1743–1766. doi: 10.1109/ACCESS.2016.2556011</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Wiley R. G. ELINT: The Interception and Analysis of Radar Signals. Norwood: Artech House Publishers, 2006. 470 p.</mixed-citation><mixed-citation xml:lang="en">Wiley R. G. ELINT: The Interception and Analysis of Radar Signals. Norwood: Artech House Publishers, 2006. 470 p.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Albaker B. M., Rahim N. A. Signal Acquisition and Parameter Estimation of Radio Frequency Pulse Radar Using Novel Method. IETE Journal of Research, 2009, vol. 55, no. 3, pp.128–134. doi: 10.4103/0377-2063.54903</mixed-citation><mixed-citation xml:lang="en">Albaker B. M., Rahim N. A. Signal Acquisition and Parameter Estimation of Radio Frequency Pulse Radar Using Novel Method. IETE Journal of Research, 2009, vol. 55, no. 3, pp.128–134. doi: 10.4103/0377-2063.54903</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Marki F., Marki C. Mixer Basics Primer: A Tutorial for RF &amp; Microwave Mixers. Available at: https://www.markimicrowave.com/assets/ap-pnotes/mixer_basics_primer.PDF (accessed 26.05.2020)</mixed-citation><mixed-citation xml:lang="en">Marki F., Marki C. Mixer Basics Primer: A Tutorial for RF &amp; Microwave Mixers. Available at: https://www.markimicrowave.com/assets/ap-pnotes/mixer_basics_primer.PDF (accessed 26.05.2020)</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Sharma S., Bhatia V., Deka K., Gupta A. Sparsity-Based Monobit UWB Receiver Under Impulse Noise Environments. IEEE Wireless Communications Letters, 2019, vol. 8, no. 3, pp. 849–852. doi: 10.1109/LWC.2019.2896998</mixed-citation><mixed-citation xml:lang="en">Sharma S., Bhatia V., Deka K., Gupta A. Sparsity-Based Monobit UWB Receiver Under Impulse Noise Environments. IEEE Wireless Communications Letters, 2019, vol. 8, no. 3, pp. 849–852. doi: 10.1109/LWC.2019.2896998</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Yin H., Wang Z., Ke L., Wang J. Monobit digital receivers: design, performance, and application to impulse radio. IEEE Transactions on Communications, 2010, vol. 58, no. 6, pp. 1695–1704. doi: 10.1109/TCOMM.2010.06.080446</mixed-citation><mixed-citation xml:lang="en">Yin H., Wang Z., Ke L., Wang J. Monobit digital receivers: design, performance, and application to impulse radio. IEEE Transactions on Communications, 2010, vol. 58, no. 6, pp. 1695–1704. doi: 10.1109/TCOMM.2010.06.080446</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Wang Z., Yin H., Zhang W., Wei G. Monobit Digital Receivers for QPSK: Design, Performance and Impact of IQ Imbalances. IEEE Transactions on Communications, 2013, vol. 61, no. 8, pp. 3292–3303. doi: 10.1109/TCOMM.2013.061913.120304</mixed-citation><mixed-citation xml:lang="en">Wang Z., Yin H., Zhang W., Wei G. Monobit Digital Receivers for QPSK: Design, Performance and Impact of IQ Imbalances. IEEE Transactions on Communications, 2013, vol. 61, no. 8, pp. 3292–3303. doi: 10.1109/TCOMM.2013.061913.120304</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Sanchez M. A., Garrido M., Lopez-Vallejo M., Grajal J. Implementing FFT-based digital channel-ized receivers on FPGA platforms. IEEE Transactions on Aerospace and Electronic Systems, 2008, vol. 44, no. 4, pp. 1567–1585. doi: 10.1109/TAES.2008.4667732</mixed-citation><mixed-citation xml:lang="en">Sanchez M. A., Garrido M., Lopez-Vallejo M., Grajal J. Implementing FFT-based digital channel-ized receivers on FPGA platforms. IEEE Transactions on Aerospace and Electronic Systems, 2008, vol. 44, no. 4, pp. 1567–1585. doi: 10.1109/TAES.2008.4667732</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Moon T., Choi H. W., Tzou N., Chatterjee A. Wideband Sparse Signal Acquisition With Dual-rate Time-Interleaved Undersampling Hardware and Multicoset Signal Reconstruction Algorithms. IEEE Transactions on Signal Processing, 2015, vol. 63, no. 24, pp. 6486–6497. doi: 10.1109/TSP.2015.2469648</mixed-citation><mixed-citation xml:lang="en">Moon T., Choi H. W., Tzou N., Chatterjee A. Wideband Sparse Signal Acquisition With Dual-rate Time-Interleaved Undersampling Hardware and Multicoset Signal Reconstruction Algorithms. IEEE Transactions on Signal Processing, 2015, vol. 63, no. 24, pp. 6486–6497. doi: 10.1109/TSP.2015.2469648</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Fu N., Huang G., Zheng L., Wang X. Sub-Nyquist Sampling of Multiple Sinusoids. IEEE Signal Processing Letters, 2018, vol. 25, no. 4, pp. 581–585. doi: 10.1109/LSP.2018.2813321</mixed-citation><mixed-citation xml:lang="en">Fu N., Huang G., Zheng L., Wang X. Sub-Nyquist Sampling of Multiple Sinusoids. IEEE Signal Processing Letters, 2018, vol. 25, no. 4, pp. 581–585. doi: 10.1109/LSP.2018.2813321</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Maroosi A., Bizaki H. K. Digital Frequency Determination of Real Waveforms Based on Multiple Sensors With Low Sampling Rates. IEEE Sensors Journal, 2012, vol. 12, no. 5, pp. 1483–1495. doi: 10.1109/JSEN.2011.2173482</mixed-citation><mixed-citation xml:lang="en">Maroosi A., Bizaki H. K. Digital Frequency Determination of Real Waveforms Based on Multiple Sensors With Low Sampling Rates. IEEE Sensors Journal, 2012, vol. 12, no. 5, pp. 1483–1495. doi: 10.1109/JSEN.2011.2173482</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Nguyen T. D.; Reeves S. J., Denney T. S. Optimal pulse shape for estimating positions of superim-posed pulses. Proceedings of the 1998 IEEE International Conf. on Acoustics, Speech and Signal Processing. Seattle, WA, USA, 1998, pp. 2413–2416. doi: 10.1109/ICASSP.1998.681637</mixed-citation><mixed-citation xml:lang="en">Nguyen T. D.; Reeves S. J., Denney T. S. Optimal pulse shape for estimating positions of superim-posed pulses. Proceedings of the 1998 IEEE International Conf. on Acoustics, Speech and Signal Processing. Seattle, WA, USA, 1998, pp. 2413–2416. doi: 10.1109/ICASSP.1998.681637</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Podstrigaev A. S., Smolyakov A. V., Davydov V. V., Myazin N. S., Slobodyan M. G. Features of the Development of Transceivers for Information and Communication Systems Considering the Distribution of Radar Operating Frequencies in the Frequency Range. Lecture Notes in Computer Science, 2018, pp. 509–515. doi: 10.1007/978-3-030-01168-0_45</mixed-citation><mixed-citation xml:lang="en">Podstrigaev A. S., Smolyakov A. V., Davydov V. V., Myazin N. S., Slobodyan M. G. Features of the Development of Transceivers for Information and Communication Systems Considering the Distribution of Radar Operating Frequencies in the Frequency Range. Lecture Notes in Computer Science, 2018, pp. 509–515. doi: 10.1007/978-3-030-01168-0_45</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Arenas J. P., Al-Oudatallah, J., Abboud F., Khoury M., Ibrahim H. Overlapping Signal Separation Method Using Superresolution Technique Based on Experimental Echo Shape. Advances in Acoustics and Vibration, 2017, vol. 2017, 9 p. doi: 10.1155/2017/7132038</mixed-citation><mixed-citation xml:lang="en">Arenas J. P., Al-Oudatallah, J., Abboud F., Khoury M., Ibrahim H. Overlapping Signal Separation Method Using Superresolution Technique Based on Experimental Echo Shape. Advances in Acoustics and Vibration, 2017, vol. 2017, 9 p. doi: 10.1155/2017/7132038</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Sarabia E. G., Llata J. R., Robla S., Torre-Ferrero C., Oria J. P. Accurate Estimation of Airborne Ultrasonic Time-of-Flight for Overlapping Echoes. Sensors, 2013, vol. 13, pp. 15465–15488. doi: 10.3390/s131115465</mixed-citation><mixed-citation xml:lang="en">Sarabia E. G., Llata J. R., Robla S., Torre-Ferrero C., Oria J. P. Accurate Estimation of Airborne Ultrasonic Time-of-Flight for Overlapping Echoes. Sensors, 2013, vol. 13, pp. 15465–15488. doi: 10.3390/s131115465</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Petrochilos N., van der Veen A. J. Algorithms to separate overlapping secondary surveillance radar replies. 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing. Montreal, 2004, pp. 49–52. doi: 10.1109/ICASSP.2004.1326191</mixed-citation><mixed-citation xml:lang="en">Petrochilos N., van der Veen A. J. Algorithms to separate overlapping secondary surveillance radar replies. 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing. Montreal, 2004, pp. 49–52. doi: 10.1109/ICASSP.2004.1326191</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Liu Y., Zhang Q. Improved method for deinterleaving radar signals and estimating PRI values. IET Radar, Sonar &amp; Navigation, 2018, vol. 12, no. 5, pp. 506–514. doi: 10.1049/iet-rsn.2017.0516</mixed-citation><mixed-citation xml:lang="en">Liu Y., Zhang Q. Improved method for deinterleaving radar signals and estimating PRI values. IET Radar, Sonar &amp; Navigation, 2018, vol. 12, no. 5, pp. 506–514. doi: 10.1049/iet-rsn.2017.0516</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Ge Z., Sun X., Ren W., Chen W., Xu G. Improved Algorithm of Radar Pulse Repetition Interval De-interleaving Based on Pulse Correlation. IEEE Access, 2019, vol. 7, pp. 30126–30134. doi: 10.1109/ACCESS.2019.2901013</mixed-citation><mixed-citation xml:lang="en">Ge Z., Sun X., Ren W., Chen W., Xu G. Improved Algorithm of Radar Pulse Repetition Interval De-interleaving Based on Pulse Correlation. IEEE Access, 2019, vol. 7, pp. 30126–30134. doi: 10.1109/ACCESS.2019.2901013</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Skolnik M. I. Radar handbook. New York: McGraw-Hill, 2008. 1328 p.</mixed-citation><mixed-citation xml:lang="en">Skolnik M. I. Radar handbook. New York: McGraw-Hill, 2008. 1328 p.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Self A. G., Smith B. G. Intercept time and its prediction. IEE Proceedings F - Communications, Radar and Signal Processing, 1985, vol. 132, no. 4, pp. 215–220. doi: 10.1049/ip-f-1.1985.0052</mixed-citation><mixed-citation xml:lang="en">Self A. G., Smith B. G. Intercept time and its prediction. IEE Proceedings F - Communications, Radar and Signal Processing, 1985, vol. 132, no. 4, pp. 215–220. doi: 10.1049/ip-f-1.1985.0052</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Kelly S. W., Noone G. P., Perkins J. E. Synchronization effects on probability of pulse train interception. IEEE Transactions on Aerospace and Electronic Systems, 1996, vol. 32, no. 1, pp. 213–220. doi: 10.1109/7.481263</mixed-citation><mixed-citation xml:lang="en">Kelly S. W., Noone G. P., Perkins J. E. Synchronization effects on probability of pulse train interception. IEEE Transactions on Aerospace and Electronic Systems, 1996, vol. 32, no. 1, pp. 213–220. doi: 10.1109/7.481263</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Apfeld S., Charlish A., Koch W. An Adaptive Receiver Search Strategy for Electronic Support. 2016 Sensor Signal Processing for Defence. Edinburgh, 2016, pp. 1–5. doi: 10.1109/SSPD.2016.7590587</mixed-citation><mixed-citation xml:lang="en">Apfeld S., Charlish A., Koch W. An Adaptive Receiver Search Strategy for Electronic Support. 2016 Sensor Signal Processing for Defence. Edinburgh, 2016, pp. 1–5. doi: 10.1109/SSPD.2016.7590587</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Clarkson I. V. L. Optimisation of Periodic Search Strategies for Electronic Support. IEEE Transactions on Aerospace and Electronic Systems, 2011, vol. 47, no. 3, pp. 1770–1784. doi: 10.1109/TAES.2011.5937264</mixed-citation><mixed-citation xml:lang="en">Clarkson I. V. L. Optimisation of Periodic Search Strategies for Electronic Support. IEEE Transactions on Aerospace and Electronic Systems, 2011, vol. 47, no. 3, pp. 1770–1784. doi: 10.1109/TAES.2011.5937264</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Sauter M. From GSM to LTE-Advanced Pro and 5G: An Introduction to Mobile Networks and Mobile Broadband. Hoboken: Wiley, 2017, 544 p.</mixed-citation><mixed-citation xml:lang="en">Sauter M. From GSM to LTE-Advanced Pro and 5G: An Introduction to Mobile Networks and Mobile Broadband. Hoboken: Wiley, 2017, 544 p.</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Mobile, radiodetermination, amateur and related satellite services. ITU Recommendations. Available at: https://www.itu.int/rec/R-REC-M/en (accessed 26.05.2020)</mixed-citation><mixed-citation xml:lang="en">Mobile, radiodetermination, amateur and related satellite services. ITU Recommendations. Available at: https://www.itu.int/rec/R-REC-M/en (accessed 26.05.2020)</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
