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Multiresolution Signal Processing Techniques for Ground Moving Target Detection Using Airborne Radar

Abstract

Synthetic aperture radar (SAR) exploits very high spatial resolution via temporal integration and ownship motion to reduce the background clutter power in a given resolution cell to allow detection of nonmoving targets. Ground moving target indicator (GMTI) radar, on the other hand, employs much lower-resolution processing but exploits relative differences in the space-time response between moving targets and clutter for detection. Therefore, SAR and GMTI represent two different temporal processing resolution scales which have typically been optimized and demonstrated independently to work well for detecting either stationary (in the case of SAR) or exo-clutter (in the case of GMTI) targets. Based on this multiresolution interpretation of airborne radar data processing, there appears to be an opportunity to develop detection techniques that attempt to optimize the signal processing resolution scale (e.g., length of temporal integration) to match the dynamics of a target of interest. This paper investigates signal processing techniques that exploit long CPIs to improve the detection performance of very slow-moving targets.

References

  1. https://doi.org/www.darpa.mil/spo/programs/kassper.htm

  2. KASSPER '02: A Premier Event, Knowledge-Aided Sensor Signal Processing and Expert Reasoning Workshop Proceedings, Washington, DC, USA, April 2002

  3. Knowledge-Aided Sensor Signal Processing and Expert Reasoning Workshop Conference Proceedings, Las Vegas, Nev, USA, April 2003

  4. 3rd Annual (KASSPER '04) Workshop Conference Proceedings, Clearwater, Fla, USA, April 2004

  5. Bergin JS, Teixeira CM, Techau PM: Multi-resolution signal processing techniques for airborne radar. Proceedings of the 2003 KASSPER Workshop, April 2003, Las Vegas, NV, USA

    Google Scholar 

  6. Bergin JS, Teixeira CM, Techau PM: Multi-resolution signal processing techniques for airborne radar. Proc. 2004 IEEE Radar Conference, April 2004, Philadelphia, Pa, USA

    Google Scholar 

  7. Bergin JS, Techau PM: High fidelity site-specific radar simulation: KASSPER '02 workshop datacube. In Tech. Rep. ISL-SCRD-TR-02-105. Information Systems Laboratories (ISL), Vienna, Va, USA; May 2002.

    Google Scholar 

  8. Bergin JS, Techau PM: High-fidelity site-specific radar simulation: KASSPER data set 2. In Tech. Rep. ISL-SCRD-TR-02-106. Information Systems Laboratories (ISL), Vienna, Va, USA; October 2002.

    Google Scholar 

  9. Bergin JS, Techau PM, Melvin WL, Guerci JR: GMTI STAP in target-rich environments: site-specific analysis. Proc. 2002 IEEE Radar Conference, April 2002, Long Beach, Calif, USA 391–396.

    Google Scholar 

  10. Techau PM, Guerci JR, Slocumb TH, Griffiths LJ: Performance bounds for hot and cold clutter mitigation. IEEE Transactions on Aerospace and Electronic Systems 1999, 35(4):1253–1265. 10.1109/7.805443

    Article  Google Scholar 

  11. Billingsley JB: Exponential decay in windblown radar ground clutter Doppler spectra: multifrequency measurements and model. In Tech. Rep. 997. MIT Lincoln Laboratory, Lexington, Mass, USA; July 1996.

    Google Scholar 

  12. Ward J: Space-time adaptive processing for airborne radar. In Tech. Rep. 1015. MIT Lincoln Laboratory, Lexington, Mass, USA; December 1994.

    Google Scholar 

  13. Guerci JR: Theory and application of covariance matrix tapers for robust adaptive beamforming. IEEE Transactions on Signal Processing 1999, 47(4):997–985.

    Article  Google Scholar 

  14. Techau PM, Bergin JS, Guerci JR: Effects of internal clutter motion on STAP in a heterogeneous environment. Proceedings of 2001 IEEE Radar Conference, May 2001, Atlanta, Ga, USA 204–209.

    Google Scholar 

  15. DiPietro RC: Extended factored space-time processing for airborne radar systems. Proceedings of 26th Annual Asilomar Conference on Signals, Systems, and Computing, October 1992, Pacific Grove, Calif, USA 1: 425–430.

    Google Scholar 

  16. Melvin WL, Guerci JR: Adaptive detection in dense target environments. Proceedings of 2001 IEEE Radar Conference, May 2001, Atlanta, Ga, USA 187–192.

    Google Scholar 

  17. Yegulalp A: FOPEN GMTI using multi-channel adaptive SAR. In Proceedings of 10th Annual Adaptive Sensor Array Processing Workshop, March 2002, Lexington, Mass, USA. MIT Lincoln Laboratory;

    Google Scholar 

  18. Skolnik MI: Radar Handbook. McGraw-Hill, Boston, Mass, USA; 1990.

    Google Scholar 

  19. Bergin JS, Teixeira CM, Techau PM, Guerci JR: Space-time beamforming with knowledge-aided constraints. In Proceedings of Adaptive Sensor Array Processing Workshop, March 2003, Lexington, Mass, USA. MIT Lincoln Laboratory;

    Google Scholar 

  20. Teixeira CM, Bergin JS, Techau PM: Reduced degree-of-freedom STAP with knowledge-aided data pre-whitening. Proceedings of 2003 KASSPER Workshop, April 2003, Las Vegas, Nev, USA

    Google Scholar 

  21. Bergin JS, Teixeira CM, Techau PM, Guerci JR: Reduced degree-of-freedom STAP with knowledge-aided data pre-whitening. Proceedings of 2004 IEEE Radar Conference, April 2004, Philadelphia, Pa, USA

    Google Scholar 

  22. Bergin JS, Teixeira CM, Techau PM, Guerci JR: STAP with knowledge-aided pre-whitening. Proceedings of the 2004 Tri-Service Radar Symposium, June 2004, Albuquerque, NM, USA 289–294.

    Google Scholar 

  23. Melvin WL, Showman GA, Zywicki DJ: KA-STAP Development: GTRI Update. In Briefing Presented at the KASSPER 2002 Program Review, September 2002, Lexington, Mass, USA. MIT Lincoln Laboratory;

    Google Scholar 

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Correspondence to Jameson S Bergin.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Bergin, J.S., Techau, P.M. Multiresolution Signal Processing Techniques for Ground Moving Target Detection Using Airborne Radar. EURASIP J. Adv. Signal Process. 2006, 047534 (2006). https://doi.org/10.1155/ASP/2006/47534

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