حذف سیگنال مسیر مستقیم در رادار دهانه مصنوعی غیر فعال چند پایه مبتنی بر سیگنال DVB-T با استفاده از الگوریتم‌های حسگری فشرده

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، دانشگاه صنعتی شیراز، شیراز، ایران

2 دانشیار، دانشگاه صنعتی شیراز، شیراز، ایران

چکیده

در این مقاله یک روش جدید با استفاده از الگوریتم‌های حسگری فشرده برای حذف سیگنال مسیر مستقیم در رادار دهانه مصنوعی پسیو چند پایه ارائه می‌شود، که در ساختار چند پایه گیرنده متحرک و فرستنده‌های مغتنم ثابت می‌باشند. سیگنال مغتنم مورد استفاده به منظور تشکیل تصویر DVB-T است. برای بهبود رزولوشن در جهت برد در رادار SAR پسیو از چند فرستنده مغتنم استفاده می‌شود. در این مقاله ابتدا یک مدل خطی برای ساختار رادار SAR پسیو چند پایه در حضور سیگنال مسیر مستقیم استخراج شده و سپس با استفاده از الگوریتم‌های حسگری فشرده اقدام به حذف آنها می‌گردد. در مدل استخراجی دامنه سیگنال مسیر مستقیم مختلط در نظر گرفته شده است. نتایج شبیه‌سازی نیز تایید می‌کند که الگوریتم حذف سیگنال مسیر های مستقیم به کمک حسگری فشرده دارای عملکرد مطلوبی می‌باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Direct signal cancelation in multistatic passive synthetic aperture radar based on DVB-T signal using compressed sensing algorithms

نویسندگان [English]

  • Farzad Ansari 1
  • Sadegh Samadi 2
  • reza mohseni 2
1 PhD student, Shiraz University of Technology, Shiraz, Iran
2 Associate Professor, Shiraz University of Technology, Shiraz, Iran
چکیده [English]

In this paper, a new method is presented to cancel the direct signal in multistatic passive synthetic aperture radar using compressed sensing algorithm. The receiver is movable and the opportunity transmitters are fixed in the multistatic geometry. The opportunity transmitters are DVB-T for imaging. Multiple transmitters are used to improve the range resolution in the passive SAR. In this paper, first, a linear model for the multistatic passive SAR is extracted in the presence of the direct signal, and then they are canceled using compressed sensing algorithm. The amplitude of direct signal is considered complex in the extractive model. The simulation results also confirm that the compressed sensing algorithm for cancelling the direct signal has a good performance.

کلیدواژه‌ها [English]

  • compressed sensing
  • multistatic synthetic aperture radar
  • DVB-T signal

Smiley face

[1]    W. Carrara, R. Goodman, and R. Majewski, “Spotlight Synthetic Aperture Radar,” MA: Artech House, 1995.
[2]    P. Krysik, L. Maslikowski, P. Samczynski, and A. Kurowska, “Bistatic ground-based passive SAR imaging using TerraSAR-X as an illuminator of opportunity,” IEEE International conference on radar, pp. 39–42, 2013.
[3]    M. Cassola, R. Prats, P. Schulze, D. Ramon, N. T. Steinbrecher, U. Marotti, L Nannini, M. Younis, M. Dokker, PL. Zink, M. Reigber, A. Krieger, and G. Moreira, “First bistatic SAR experiments with TanDEM-X,” IEEE Geoscience and Remote Sensing Letters, vol. 9, no. 1, pp. 33-37, 2012.
[4]    A. Anghel, R. Cacoveanu, A. S. Moldovan, A. A. Popescu, M. Datcu, and A. Serban, “Simplified bistatic SAR imaging with a fixed receiver and TerraSAR-X as transmitter of opportunity First results,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2094–2097, 2016.
[5]    D. Gromek, P. Krysik, K. Kulpa, P. Samczynski, and M. Malanowski, “Ground-based mobile passive imagery based on a DVB-T signal of opportunity,” International Radar Conference Radar, pp 1-4, 2014.
[6]    D. Gromek, P. Samczynski, K. Kulpa, P. Krysik, and M. Malanowski, “Initial results of passive SAR imaging using a DVB-T based airborne radar receiver,” European Radar Conference (EuRAD), pp. 137-140, 2014.
[7]    Y. Fang, G. Atkinson, A. Sayin, and J. Chen, “Improved passive SAR imaging with DVB-T transmissions,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, pp. 5066- 5076, 2020.
[8]    A. Evers, and J. Jackson, “Experimental passive SAR imaging exploiting LTE, DVB, and DAB signals,” IEEE Radar conference, Cincinnati, pp 0680–0685, 2014. 
[9]    J. R. Arroyo, and J. A. Jackson, “Collecting and Processing WiMAX Ground Returns for SAR Imaging,” IEEE Radar conference, pp 1-6, 2013.
[10] P. Krysik, and K. Kulpa, “The use of a GSM-based passive radar for sea target detection,” European Radar Conference, pp. 142–145, 2012.
[11] X. Qiu, C. Ding, and D. Hu, “Bistatic SAR data processing algorithms,” Institute of Electronics, Chinese Academy of Sciences, 2013.
[12] P. B. Davenport, “Using multistate passive radar for real-time detection of UFO in the near-earth environment,” National UFO Reporting Center, Seattle Washington, 2004.
[13] M. Conti, F. Berizzi, M. Martorella, E. D. Mese, D. Petri and A. Capria, “High range resolution multichannel DVB-T passive radar,” IEEE AGE System Magazin, 2012.
[14] F. Ansari, S. Samadi, and R. Mohseni, “Passive synthetic aperture radar imaging using Kalman Reflection Coefficients Estimation algorithm with DVB-T signal,” Real Time Image Processing, vol. 18, no. 4, pp. 2097 – 2109, 2021.
[15] F. Santi, M. Bucciarelli, D. Pastina, and M. Antoniou, “ CLEAN technique for passive bistatic and multistatic SAR with GNSS transmitters,” IEEE Radar conference, pp. 1-6, 2015.
[16] K. Kulpa, P. Samczynski, M. Malanowski , L. Maslikowski, and V. Kubica, “The use of CLEAN processing for passive SAR image creation,” IEEE Radar conference, pp. 1-6, 2013.
[17] A. Y. Carmi, L. Mihaylovam, and S. J. Godsill, “Compressed Sensing and Sparse Filtering,” New York: Springer, 2014.
[18] J. Fang, Z. Xu, B. Zhang, W. Hong, and Y. Wu, “Fast compressed sensing SAR imaging based on approximated observation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1-12, 2014.
[19] U. Ladebusch, and C. A. Liss, “Terrestrial DVB: A broadcast technology for stationary potable mobile use,” Proceeding of the IEEE, vol. 94, no. 1, pp, 183-193, 2006.
[20] European Telecommunications Standards Institute (ETSI),“Digital video broadcasting, Framing structure, channel coding and modulation for terrestrial television,” European Standard (EN) 300 744 V1.5.1, 2004.
[21] S. Samadi ‎, M. Cetin‎, and M. A. Masnadi-Shirazi,“ Sparse representation based SAR imaging,” IET Radar Sonar & Navigation, vol. 5, no. 2, pp.182 – 193, 2011.
[22] S. Roucart, “Sparse recovery algorithms: sufficient conditions in terms of restricted isometry constants,” Approximation Theory XIII: San Antonio 2010, Springer New York, pp. 65-77, 2012.
[23] S. S. Chen, D. L. Donoho, and M. A Saunders, “Atomic decomposition by basis pursuit,” Society for Industrial and Applied MathematiSR, vol. 43, no. 1, pp. 129-159, 2001.
[24] S. Bahmani, B. Raj, and P. T. Boufounos, “Greedy sparsity-constrained optimization,” J Mach Learning Research, vol. 14, no. 1, pp. 807-841, 2013.
[25] T. Blumensath, M. Yaghoobi, and M. Davies, “Iterative hard thresholding and L0 regularization,” IEEE International Conference on AcoustiSR, Speech and Signal Processing, pp.1520-6149, 2007.
[26] J. A. Tropp, and A. C. Gilbert, “Signal recovery from random measurements via orthogonal matching pursuit,” IEEE Transactions on Signal Processing, vol. 63, no. 10, pp. 2572–2581, 2007.
[27] A. Asadipooya, S. Samadi, M. Moradikia, and R. Mohseni, “Majorization–Minimization approach for real‑time enhancement of sparsity‑driven SAR imaging,” Real-Time Image Processing, vol. 18, no. 3, pp. 1441-1455, 2021.
[28] I. Homana, M. D. Topa, and B. S. Kirei, “Echo cancelling using adaptive algorithms,” SIITME2009- 15th International Symposium for Designand Technologyof Electronics Packages, 2009.
[29] F. Colone, D. W. O’Hahan, P. Lombardo, and C. J. Baker, “A multistage processing algorithm for disturbance removal and target detection in passive bistatic radar,” IEEE Trans. on Aerospace and Electronic Systems, vol. 45, no. 2, pp.698-722, 2009.
[30] F. Ansari, and M. R. Taban, “Clutter and direct signal cancellation in passive radar using TV analog,” Journal of Radar, vol. 1, no. 2, 2013. (In Persian)
[31] https://www.imsar.com/portfolio/synthetic-aperture-radar/.
دوره 10، شماره 2 - شماره پیاپی 28
شماره پیاپی 28، فصلنامه پاییز و زمستان
دی 1401
  • تاریخ دریافت: 24 آبان 1401
  • تاریخ بازنگری: 21 آذر 1401
  • تاریخ پذیرش: 13 دی 1401
  • تاریخ انتشار: 01 بهمن 1401