paper 150202110432

Published: 2015-07-09

Beam-footprint Detection for Non-cooperative Spaceborne/Airborne Bistatic SAR

Wenge Chang,

Wenge Chang

National University of Defense Technology, China

Homepage

Xiangyang Li,

Xiangyang Li

National University of Defense Technology, China

Homepage

Feifei Yan

National University of Defense Technology, China

Homepage

Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)604-608

Abstract

In non-cooperative spaceborne/airborne bistatic synthetic aperture radar (SAR), the position of transmitter beam footprint should be detected in real-time to realize beam syn- chronization. Theoretical analysis shows that signal-to-noise ratio (SNR) of the reflected echoes from the observational area is too low to use the conventional detect method. According to the cross correlation between the echoes of adjacent pulse repetition frequency (PRF) and M -out-of- N (M/N ) detection, a reflected echo detect method is proposed in this paper. This method can realize the accumulation of signal energy and enormously improve the performance of LFM detec- tion. Therefore, it can be used for transmitter beam footprint detection in real-time. Simulation results are finally presented to validate the feasibility and efficiency of the proposed method. Finally, raw data of one monostatic SAR is equivalent to verify the efficiency of the proposed algorithm.

Citation

Wenge Chang, Xiangyang Li, and Feifei Yan, "Beam-footprint Detection for Non-cooperative Spaceborne/Airborne Bistatic SAR," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)604-608

References

1. Merrill, I. and T. Skolnik, Radar Handbook, Publishing House of Electronics Industry, Beijing, 2010. Google Scholar

2. Watterscheid, I., J. Klare, and A. R. Brenner, "Challenges of bistatic spaceborne/airborne SAR experiment," European Conference on Synthetic Aperture Radar, 673-678, Dresden, Germany, May 2006. Google Scholar

3. Zhang, S. S., and T. Zeng, "Dim target detection based on keystone transform," Proceedings of IEEE International Radar Conference, 889-894, Washington, DC, USA, May 2005.
doi:10.1109/icicta.2010.178 Google Scholar

4. Conte, E., A. Maio, and G. Ricci, "CFAR detection of distributed targets in non-Craussian disturbance," IEEE Trans. on Aerospace and Electronic Systems, Vol. 38, No. 2, 612-621, 2002.
doi:10.1109/taes.2002.1008990 Google Scholar

5. Bisciglie, D. and R. Mauriziodi, "CFAR detection of extended objects in high resolution SAR images," IEEE Trans. on Geoscience and Remote Sensing, Vol. 43, No. 4, 833-843, 2005. Google Scholar

6. Kay, S. M., Fundamentals of Statistical Signal Processing Volume II Detection Theory, Prentice Hall, New Jersey, 1998. Google Scholar