RADIOELECTRONIC AND COMPUTER SYSTEMS

The subject of study in the article is the algorithms for radio monitoring of the Earth in a wide field of view from aerospace transport. The goal is to design a structural diagram of a radio complex that can operate simultaneously in two modes: modified synthetic aperture (SAR) and aperture synthesis (ASR), in accordance with algorithms synthesized by the maximum likelihood method. The modified SAR mode allows obtaining high-resolution radio images in the observation angle range ±(20°...50°) from the direction to the nadir. A method of combining a modified SAR algorithm is used, which differs from the classical imaging algorithm by the possibility of obtaining a higher spatial resolution, the payment for this is the complication of the signal processing algorithm associated with the implementation of decorrelating filters that expand the spectrum of received signals in each receiving path, and the ASR mode, which allows imaging using passive or active radar principles. The passive ASR mode provides for the imaging in the observation angle range of ±20° from the nadir based on the results of processing signals of its own broadband radio-thermal radiation, and the active mode – in the same observation angle range, but using the broadband noise signal of the backlight. An important result in the formation of a radio image in the specified viewing area when using the active mode of the ASR is that the images are close in physical content, namely, proportional to the specific effective reflection surface of the underlying surface. In addition, a distinctive feature of the synthesized algorithms is the use of wideband probing signals and, accordingly, the same input paths of receivers, which makes it possible to increase the signal-to-noise ratio of the output effect. Conclusions. The scientific novelty of the results obtained is as follows: a structural diagram of the radio complex was developed on the basis of algorithms synthesized by the maximum likelihood method. For the formation of a radio image in the radio complex, a combination of SAR and ASR (with two modes of operation) is implemented. This implementation is important, since it allows obtaining high-resolution images in the observation angle range of ±50° from the direction to the nadir. It is advisable to place the complex on airplanes, helicopters and spacecraft (preferably those that move in low orbits).

radar imaging; synthetic aperture radar; aperture synthesis radar; signal processing algorithm; ultrawideband signal processing

Tsymbal, O. V., Lukin, V. V., Ponomarenko, N. N., Zelensky, A. A., Egiazarian, K. O., Astola, J. T. Three-state locally adaptive texture preserving filter for radar and optical image processing. Eurasip Journal on Applied Signal Processing, 2005, no. 8, pp. 1185-1204. DOI: 10.1155/ASP.2005.1185.

Vozel, B., Uss, M., Lukin, V., Abramov, S., Baryshev, I., Chehdi, K. Image informative maps for estimating noise standard deviation and texture parameters. Eurasip Journal on Advances in Signal Processing, 2011, DOI: 10.1155/2011/806516.

Kravchenko, V. F., Kutuza, B. G., Volosyuk, V. K., Pavlikov, V. V., Zhyla, S. S. Super-resolution SAR imaging: Optimal algorithm synthesis and simulation results. Progress In Electromagnetics Research Symposium – Spring (PIERS), 2017, pp. 419-425. DOI: 10.1109/PIERS.2017.8261776.

Pavlikov, V. V., Nguen Van Kiem, Tymoshchuk, O. M. Algorithm for radiometric imaging by ultrawideband systems of aperture synthesis. IEEE Radar Methods and Systems Workshop (RMSW), 2016, pp. 103-106. DOI: 10.1109/RMSW.2016.7778561.

Kravchenko, V. F., Kutuza, B. G., Volosyuk, V. K., Pavlikov, V. V.,Van, K. N. Multiantenna radiometric complex for high resolution imaging: Synthesis of algorithm for optimal UWB signal processing and development of functional flow block diagram. Progress In Electromagnetics Research Symposium – Spring (PIERS), 2017, pp. 426-430. DOI: 10.1109/PIERS.2017.8261777.

Pavlikov, V. V., Nguen Van Kiem, Tymoshchuk, O. M. Spectral method for the spatio-spectral sensitivity domain filling in aperture synthesis system. 8th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS), 2016, pp. 124-127. DOI: 10.1109/UWBUSIS.2016.7724167.

Ieremeiev, O., Lukin, V., Okarma, K. Kombinovana metryka vizual'noyi yakosti zobrazhen' dystantsiynoho zonduvannya na osnovi neyronnoyi merezhi [Combined visual quality metric of remote sensing images based on neural network]. Radioelektronni i komp'uterni sistemi – Radioelectronic and computer systems, 2020, no. 4(96), pp. 4-15. DOI: 10.32620/reks.2020.4.01.

Ponomarenko, N. N., Lukin, V. V., Zelensky, A. A., Astola, J. T., Egiazarian, K. O. Adaptive DCT-based filtering of images corrupted by spatially correlated noise. Proceedings of SPIE - the International Society for Optical Engineering, 2008, 6812, 68120W. DOI: 10.1117/12.764893.

Abramov, S., Krivenko, S., Roenko, A., Lukin, V., Djurović, I., Chobanu, M. Prediction of filtering efficiency for DCT-based image denoising. 2nd Mediterranean Conference on Embedded Computing (MECO), 2013, pp. 97-100. DOI: 10.1109/MECO.2013.6601327.

Gorovyi, I. M., Bezvesilniy, O. O., Vavriv, D. M. Efficient data focusing and trajectory reconstruction in airborne SAR systems. Signal Processing Symposium (SPSympo), 2015, pp. 1-5. DOI: 10.1109/SPS.2015.7168271

Villano, M., Krieger, G., Moreira, A. Advanced spaceborne SAR systems with planar antenna. IEEE Radar Conference (RadarConf), 2017, pp. 152-156. DOI: 10.1109/RADAR.2017.7944188.

Desruelles, G., Rolland, N., Rolland, P. Submillimetric high resolution passive imaging system using synthesis aperture technique. 7th European Radar Conference, 2010, pp. 280-283.

Peichl, M., Dill, S., Jirousek, M., Schreiber, E. On the use of passive microwave remote sensing by airborne platforms. 16th International Radar Symposium (IRS), 2015, pp. 225-230. DOI: 10.1109/IRS.2015.7226382.

Abramov, S. K., Abramova, V. V., Abramov, K. D., Lukin, V. V., Bondar, V. V., Kaluzhinov, I. V. Metodika opredelenija polja obnaruzhenija bespilotnyh letatel'n-yh apparatov nazemnym nabljudatelem [Technique of detection field estimating for unmanned aerial vehicles by a ground observer]. Radioelektronni i komp'uterni sistemi – Radioelectronic and computer systems, 2020, no. 3(95), pp. 36-42. DOI: 10.32620/reks.2020.3.04.

Pavlikov, V., Volosyuk, V., Zhyla, S., Nguen Van Huu, Nguen Van Kiem A new method of multi-frequency active aperture synthesis for imaging of SAR blind zone under aerospace vehicle. 14th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), 2017, pp. 118-120. DOI: 10.1109/CADSM.2017.7916099.

Pavlikov, V. V., Volosyuk, V. K., Zhyla, S. S.,Van, Huu Nguen Active Aperture Synthesis Radar for High Spatial Resolution Imaging. 9th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS), 2018, pp. 252-255. DOI: 10.1109/UWBUSIS.2018.8520021.

Pavlikov, V., Volosyuk, V., Zhyla, S., Nguen Van Huu, Nguen Van Kiem, Sobkolov, A. Signal Processing Algorithm for Active Aperture Synthesis Systems. IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM), 2019, pp. 1-4. DOI: 10.1109/CADSM.2019.8779350.

Daki, O. A., Nguen Van Huu, Pavlikov, V. V., Sobkolov, A. D., Tymoschuk, O. M. Imaging by aerospace radar systems with active aperture synthesis. Telecommunications and Radio Engineering, 2019, vol. 78, no. 14, pp. 1233-1247. DOI: 10.1615/TelecomRadEng.v78.i14.20.

Pavlikov, V., Volosyuk, V., Nechyporuk, M., Sobkolov, A., Odokienko, O., Tserne, E. Algorithm of Formation Radio Images from Aerospace Carriers. IEEE Ukrainian Microwave Week (UkrMW), 2020, pp. 54-58. DOI: 10.1109/UkrMW49653.2020.9252702.

Pavlikov, V. V., Volosyuk, V. K., Zhyla, S. S. Ultra-wideband Passive radars Fundamental Theory and Applications. IEEE 17th International Conference on Mathematical Methods in Electromagnetic Theory (MMET), 2018, pp. 1-6. DOI: 10.1109/MMET.2018.8460251.

Pavlikov, V. V., Nechyporuk, M. V., Nguen Van Huu, Sobkolov, A. D. Quasioptimal Spatiotemporal Signal Processing Algorithm for Radar Imaging. IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2020, pp. 559-564. DOI: 10.1109/TCSET49122.2020.235495.

Holliday, R., Rhys-Roberts, M., Wynn, D. A. A lightweight, ultra wideband polarimetric W-band radar with high resolution for environmental applications. European Radar Conference, 2006, pp. 194-197. DOI: 10.1109/EURAD.2006.280307.

Fu, J., Chen, X., Pan, S. A fiber-distributed multistatic ultra-wideband radar. 14th International Conference on Optical Communications and Networks (ICOCN), 2015, pp. 1-3. DOI: 10.1109/ICOCN.2015.7203608.

Chirov, D. S., Kochetkov, Y. A. Assessment of the Accuracy of Determining the Coordinates and Speed of Small-Size UAV of a Multi-Position Radar with Omnidirectional Antenna Elements. Systems of Signals Generating and Processing in the Field of on Board Communications, 2020, pp. 1-6. DOI: 10.1109/IEEECONF48371.2020.9078571.

Yang, Y., Fathy, A. E. See-through-wall imaging using ultra wideband short-pulse radar system. IEEE Antennas and Propagation Society International Symposium, 2005, vol. 3B, pp. 334-337. DOI: 10.1109/APS.2005.1552508.

Maaref, N., Millot, P., Pichot C., Picon, O. FMCW ultra-wideband radar for through-the-wall detection of human beings. International Radar Conference "Surveillance for a Safer World" (RADAR 2009), 2009, pp. 1-5.

Li, P., Zhou, F., Luo, P. Liu, M. Portable Low-Power Fully Digital Radio-Frequency Direct-Transceiving See-Through-Wall Radar. IEEE Access, 2020, vol. 8, pp. 163298-163307, DOI: 10.1109/ACCESS.2020.3019966.

Davis, M. E. Challenges of ultra wideband, multi-mode radar. Proceedings of IEEE CIE International Conference on Radar, 2011, pp. 5-8. DOI: 10.1109/CIE-Radar.2011.6159706.

Chen, K. M. Ultra-wideband/short-pulse radar for target identification and detection-laboratory study. Proceedings International Radar Conference, 1995, pp. 450-455. DOI: 10.1109/RADAR.1995.522590.

Kharchenko, V., Illiashenko, O. Concepts of green IT engineering: Taxonomy, Principles and implementation. Studies in Systems, Decision and Control, 2016, vol. 74, pp. 3-19. DOI: 10.1007/978-3-319-44162-7_1.

Volosyuk, V. V., Kravchenko, V. F., Kutuza, B. G., Pavlikov, V. V. The new method of antenna aperture synthesis with received signal decorrelation. 10th European Conference on Synthetic Aperture Radar (EUSAR 2014), 2014, pp. 1-4. EID: 2-s2.0-84994234354.

Rahman, H. Fundamental Principles of Radar. Boca Raton, CRC Press Publ., 2019. 339 p.

Huimin, L., Jingya, Z. Analysis of a combined waveform of linear frequency modulation and phase coded modulation. 11th International Symposium on Antennas, Propagation and EM Theory (ISAPE), 2016, pp. 539-541. DOI: 10.1109/ISAPE.2016.7834008.

Patel, K., Neelakantan, U., Gangele, S., Vacchani, J. G., Desai, N. M. Linear frequency modulation waveform synthesis. IEEE Students' Conference on Electrical, Electronics and Computer Science, 2012, pp. 1-4. DOI: 10.1109/SCEECS.2012.6184744.

Roy, T. M. D., Prakasam, L. G. M. Efficient Digital Implementation of Non Linear Frequency Modulation for Radar Applications. IEEE MTT-S International Microwave and RF Conference (IMaRC), 2018, pp. 1-4. DOI: 10.1109/IMaRC.2018.8877350.

Peng, Y. JLHS: A Joint Linear Frequency Modulation and Hyperbolic Frequency Modulation Approach for Speed Measurement. IEEE Access, 2020, vol. 8, pp. 205316-205326. DOI: 10.1109/ACCESS.2020.3037801.

Taylor, J. D. Ultrawideband Radar: Applications and Design. Boca Raton, CRC Press Publ., 2012. 536 p.

Sabath, F., Mokole, E. L., Samaddar, S. N. Definition and classification of ultra-wideband signals and devices. URSI Radio Science Bulletin, 2005, vol. 2005, no. 313, pp. 12-26. DOI: 10.23919/URSIRSB.2005.7909522.

Mughal, M. O., Kim, S. Signal Classification and Jamming Detection in Wide-Band Radios Using Naïve Bayes Classifier. IEEE Communications Letters, 2018, vol. 22, no. 7, pp. 1398-1401. DOI: 10.1109/LCOMM.2018.2830769.

Friedlander, B., Weiss, A. J. Direction finding for wideband signals using an interpolated array. Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers, 1991, vol. 1, pp. 583-587 DOI: 10.1109/ACSSC.1991.186515.

Noureddine, L., Ferid, H., Ali, G. A joint space-time estimation algorithm for wideband signals with high resolution capabilities. 6th International Multi-Conference on Systems, Signals and Devices, 2009, pp. 1-5. DOI: 10.1109/SSD.2009.4956659.

Hippenstiel, R., Fargues, M. P. Classification of wideband transient signals using spectral-based techniques. Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, 1993, vol. 2, pp. 1479-1483. DOI: 10.1109/ACSSC.1993.342367.

Chernogor, L. F., Lazorenko, O. V. The modeling of ultra-wideband signals and processes. 6th International Conference on Ultrawideband and Ultrashort Impulse Signals, 2012, pp. 246-248. DOI: 10.1109/UWBUSIS.2012.6379795.

Chernogor, L. F., Lazorenko, O. V., Onishchenko, A. A. New models of the fractal ultra-wideband signals. 8th International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS), 2016, pp. 89-92. DOI: 10.1109/UWBUSIS.2016.7724158.

Volosyuk, V. K., Kravchenko, V. F. Statisticheskaya teoriya radiotekhnicheskikh sistem distantsionnogo zondirovaniya i radiolokatsii [Statistical Theory of Radio-Engineering Systems of Remote Sensing and Radar]. Moscow, Fizmatlit Publ., 2008. 704 p.

Volosyuk, V. K., Ksendzuk, A. V., Eskov, S. N. Optimal estimation of the radar cross-section for the stochastic surface models. Fourth International Kharkov Symposium 'Physics and Engineering of Millimeter and Sub-Millimeter Waves'. Symposium Proceedings (Cat. No.01EX429), 2001, vol. 1, pp. 438-440.

Yanik, M. E., Torlak, M. Near-Field MIMO-SAR Millimeter-Wave Imaging With Sparsely Sampled Aperture Data. IEEE Access, 2019, vol. 7, pp. 31801-31819, DOI: 10.1109/ACCESS.2019.2902859.

Sharma, G. Raj, A. B. Spotlight SAR Imaging with Sufficient Cyclic Prefix-OFDM Waveform. 2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020, pp. 625-630, DOI: 10.1109/ICOSEC49089.2020.9215293.

Pavlikov, V., Volosyuk, V., Zhyla, S., Tserne, E., Shmatko, O., Sobkolov, A. Active-Passive Radar for Radar Imaging from Aerospace Carriers. IEEE 19th International Conference on Smart Technologies (EUROCON), 2021, pp. 18-24. DOI: 10.1109/EUROCON52738.2021.9535619.

Pavlikov, V., Volosyuk, V., Zhyla, S., Sobkolov, A., Odokienko, O., Tserne, E., Shmatko, O., Sobkolov, A. Development of Broadband Criterion for Spatially Distributed Radio Systems Synthesis. IEEE 3rd Ukrainian Conference on Electrical and Computer Engineering (UKRCON), 2021, pp. 232-236.

Kuzmenko, N. S., Ostroumov, I. V., Marais, K. An Accuracy and Availability Estimation of Aircraft Positioning by Navigational Aids. In Proceedings of the 2018 IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC), 2018, pp. 36–40. DOI: 10.1109/MSNMC.2018.8576276.

Sezginer, K., Gül, M., Beköz, A., Özer Y. B., Kasnakoğlu, C. DME/DME position and velocity estimation. 26th Signal Processing and Communications Applications Conference (SIU), 2018, pp. 1-4. DOI: 10.1109/SIU.2018.8404414.

Ostroumov, I. V., Kuzmenko, N. S. Compatibility analysis of multi signal processing in APNT with current navigation infrastructure. Telecommunications and Radio Engineering, 2018, vol. 77, no. 3, pp. 211-223. DOI: 10.1615/TelecomRadEng.v77.i3.30.

Zaliskyi, M., Solomentsev, O., Shcherbyna, O., Ostroumov, I., Sushchenko, O., Averyanova, Y., Heteroskedasticity Analysis During Operational Data Processing of Radio Electronic Systems. Data Science and Security. Lecture Notes in Networks and Systems, 2021, vol. 290. Shukla, S., Unal, A., Varghese, Kureethara J., Mishra, D. K., Han, D. S. (Eds). Singapore, Springer Publ., 2021, pp. 168-175. DOI: 10.1007/978-981-16-4486-3_18.

Tsymbal, O. V., Lukin, V. V., Ponomarenko, N. N. et al. Three-State Locally Adaptive Texture Preserving Filter for Radar and Optical Image Processing. EURASIP J. Adv. Signal Process. 851609, 2005, DOI: 10.1155/ASP.2005.1185.

Uss, M., Vozel, B., Lukin, V. et al. Image Informative Maps for Estimating Noise Standard Deviation and Texture Parameters. EURASIP J. Adv. Signal Process. 806516, 2011, DOI: 10.1155/2011/806516.