- Research Article
- Open Access
Knowledge-Aided STAP Processing for Ground Moving Target Indication Radar Using Multilook Data
EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 074838 (2006)
Knowledge-aided space-time adaptive processing (KASTAP) using multiple coherent processing interval (CPI) radar data is described. The approach is based on forming earth-based clutter reflectivity maps to provide improved knowledge of clutter statistics in nonhomogeneous terrain environments. The maps are utilized to calculate predicted clutter covariance matrices as a function of range. Using a data set provided under the DARPA knowledge-aided sensor signal processing and expert reasoning (KASSPER) Program, predicted distributed clutter statistics are compared to measured statistics to verify the accuracy of the approach. Robust STAP weight vectors are calculated using a technique that combines covariance tapering, adaptive estimation of gain and phase corrections, knowledge-aided prewhitening, and eigenvalue rescaling. Techniques to suppress large discrete returns, expected in urban areas, are also described. Several performance metrics are presented, including signal-to-interference-plus-noise ratio (SINR) loss, target detections and false alarms, receiver operating characteristic (ROC) curves, and tracking performance. The results show more than an order of magnitude reduction in false alarm density when compared to standard STAP processing.
Melvin WL: Space-time adaptive radar performance in heterogeneous clutter. IEEE Transactions on Aerospace and Electronic Systems 2000, 36(2):621–633. 10.1109/7.845251
Melvin WL, Guerci JR, Callahan MJ, Wicks MC: Design of adaptive detection algorithms for surveillance radar. Proceedings of Record of the IEEE 2000 International Radar Conference, May 2000, Alexandria, Va, USA 608–613.
Ward J: Space-time adaptive processing for airborne radar. In Tech. Rep. F19628-95-C-0002. MIT Lincoln Laboratory, Lexington, Mass, USA; 1994.
Reed IS, Mallett JD, Brennan LE: Rapid convergence rate in adaptive arrays. IEEE Transactions on Aerospace and Electronic Systems 1974, 10(6):853–863.
Guerci JR: Theory and application of covariance matrix tapers for robust adaptive beamforming. IEEE Transactions on Signal Processing 1999, 47(4):977–985. 10.1109/78.752596
DiPietro RC: Extended factored space-time processing for airborne radar systems. Proceedings of 26th IEEE Asilomar Conference on Signals, Systems and Computers, October 1992, Pacific Grove, Calif, USA 1: 425–430.
Bergin JS, Guerci JR, Techau PM, Teixeira CM: Space-time beamforming with knowledge-aided constraints. Proceedings of 11th Workshop on Adaptive Sensor Array Processing (ASAP '03), March 2003, Lexington, Mass, USA
Bergin JS, Teixeira CM, Techau PM, Guerci JR: STAP with knowledge-aided data pre-whitening. Proceedings of IEEE Radar Conference, April 2004, Philadelphia, Pa, USA 289–294.
High-Fidelity Site-Specific Radar Simulation: KASSPER Data Set 2 Information Systems Laboratories, Inc., October 2002
Kelly EJ: An adaptive detection algorithm. IEEE Transactions on Aerospace and Electronic Systems 1986, 22(1):115–127.
Novak L: New results in UHF/VHF SAR change detection. In CCC&D FOPEN Workshop. MIT Lincoln Laboratory, Lexington, Mass, USA; 2002.
Skolnik MI (Ed): Radar Handbook. 2nd edition. McGraw-Hill, New York, NY, USA; 1990. Section 17.2
About this article
Cite this article
Page, D., Owirka, G. Knowledge-Aided STAP Processing for Ground Moving Target Indication Radar Using Multilook Data. EURASIP J. Adv. Signal Process. 2006, 074838 (2006). https://doi.org/10.1155/ASP/2006/74838
- False Alarm
- Tracking Performance
- Radar Data
- Phase Correction