Channel Calibration based on Correlation Analysis for Multichannel SAR-GMTI Systems with Performance Test

doi:10.23940/ijpe.17.08.p6.12331245

Abstract

Abstract: This paper proposes an accurate channel calibration algorithm for ground moving target indication (GMTI) applications with multichannel synthetic aperture radar (SAR) systems. The proposed algorithm is developed in a statistical fashion, and a useful tool called correlation analysis is employed, which measures the coherence between two channels by means of correlation coefficient. Based on correlation analysis theory, an optimum solution to a very general channel calibration problem is obtained, for which only the knowledge of the first two moments of the channel output signals is assumed and no other distributional assumptions are made. The proposed optimum solution represents a generic solution to the general channel calibration problem, which leads to a simple implementation form and needs no iterative operation. The performance test results show that the proposed correlation analysis processing algorithm is an effective way of calibrating the channels.

Submitted on October 29, 2017; Revised on November 12, 2017; Accepted on December 1, 2017
References: 21

Zhao-Yan Chen and Tong Wang. Channel Calibration based on Correlation Analysis for Multichannel SAR-GMTI Systems with Performance Test [J]. Int J Performability Eng, 2017, 13(8): 1233-1245.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

References 0

	Z.-Y. Chen and T. Wang, “Two-stage channel calibration technique for multichannel synthetic aperture radar-ground moving target indication systems,” IET Radar, Sonar & Navigation, vol. 8, no. 9, pp. 1116–1126, December 2014
	Z.-Y. Chen, and T. Wang, “Unambiguous across-track velocity estimation of moving targets for multichannel SAR-GMTI systems,” IET Signal Processing, December 2014
	Z.-Y. Chen, T. Wang, and N. Ma, “Accurate baseline estimation for synthetic aperture radar-ground moving target indication systems based on co-registration and median filtering,” IET Radar, Sonar & Navigation, vol. 8, no. 6, pp. 607 - 615, July 2014
	Z.-Y. Chen, T. Wang, and N. Ma, “Simple and robust baseline estimation method for multichannel SAR-GMTI systems,” International Journal of Electronics, vol. 103, no. 7, pp. 1127-1137, July 2016
	D. Cristallini, D. Pastina, F. Colone, and P. Lombardo, “Efficient Detection and Imaging of Moving Targets in SAR Images Based on Chirp Scaling,” IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 4, pp. 2403-2416, April 2013
	J. H. G. Ender, “Space-time processing for multichannel synthetic aperture radar,” IEE Electronics & Communication Engineering Journal, vol. 11, no. 1, pp. 29–38, February 1999
	J. H. G. Ender, “The airborne experimental multi-channel SAR system AER-II,” in Proceedings of EUSAR, K?nigswinter, Germany, March 1996, pp. 49–52
	M. R. Foster and N. J. Guinzy, “The coefficient of coherence: its estimation and use in geophysical data processing,” Geophysics, vol. 32, no. 4, pp. 602-616, August 1967
	C. H. Gierull, “Digital channel balancing of along-track interferometric SAR data,” DRDC, Ottawa, ON, Canada, Technical Report TM 2003-024, March 2003
	J. Guo, Z. F. Li, and Z. Bao, “Adaptive clutter suppression and resolving of velocity ambiguities for an experimental three-channel airborne SAR-GMTI system,” IET Radar, Sonar & Navigation, vol. 5, no. 4, pp. 426–435, 2011
	S. M. Kay, “Fundamentals of statistical signal processing: estimation theory,” Prentice Hall, New Jersey, USA, 1993
	L. Lightstone, D. Faubert, and G. Rempel, “Multiple phase centre DPCA for airborne radar,” in Proceedings of 1991 IEEE National Radar Conference, pp. 36–40, 1991
	A. Moccia, and G. Rufino, “Spaceborne along-track SAR interferometry: Performance analysis and mission scenarios,” IEEE Transactions on Aerospace and Electronic Systems, vol. 37, no. 1, pp. 199–213, January 2001
	J. Qian, X. Lv, M. Xing, L. Li, and Z. Bao, “Motion parameter estimation of multiple ground fast-moving targets with a three-channel synthetic aperture radar,” IET Radar, Sonar & Navigation, vol. 5, no. 5, pp. 582–592, 2011
	T. K. Sjogren, V. T. Vu, M. I. Pettersson, A. Gustavsson, and L. M. H. Ulander, “Moving Target Relative Speed Estimation and Refocusing in Synthetic Aperture Radar Images,” IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 3, pp. 2426-2436, July 2012
	G. W. Stimson, Introduction to airborne radar, 2nd ed. New Jersey: SciTech Publishing, 1998
	R. Touzi, A. Lopes, J. Bruniquel, and P. W. Vachon, “Coherence estimation for SAR imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 37, no. 1, pp. 135-149, January 1999
	S. V. Vaseghi, “Advanced digital signal processing and noise reduction,” 4th ed., John Wiley & Sons, New York, USA, 2008
	R. E. Walpole, R. H. Myers, S. L. Myers, and K. Ye, “Probability and statistics for engineers and scientists,” 9th ed., Prentice Hall, New York, USA, 2012
	T. Wang, Z. Bao, Z. Zhang, and J. Ding, “Improving coherence of complex image pairs obtained by along-track bistatic SARs using range–azimuth prefiltering,” IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 1, pp. 3–13, January 2008
	N. Wiener, “Generalized harmonic analysis,” Acta Mathematica, vol. 55, no. 1, pp. 117-258, 1930