Moving Target Feature Extraction with Polarization Diversity in the Presence of Arbitrary Range Migration and Phase Errors

High Range Resolution (HRR) Moving Target Indication (MTI) is becoming increasingly important for many military and civilian applications such as the detection and classi cation of moving targets in strong clutter background. Meanwhile, using polarization diversity in radar systems has been shown to result in improved performances as compared to using only a single polarization channel. In this paper, we extract HRR moving target features with polarization diversity in the presence of strong stationary clutter. The problem we consider takes into account arbitrary range migration and arbitrary phase errors, which may be induced by unknown target and platform motions as well as atmosphere turbulence and/or system instability. A relaxation-based algorithm is presented for the joint clutter suppression and super resolution target feature extraction and its performance is compared to the Cram er-Rao Bound (CRB), the best performance bound an unbiased estimator can achieve. Numerical results are also provided to demonstrate the performance of the proposed algorithm. IEE Proceedings Radar, Sonar, and Navigation 1 Submitted October 1999 Revised February 2000 Guoqing Liu and Jian Li are with the Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA. Hongbin Li is with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA. Please address all correspondence to: Dr. Jian Li, Department of Electrical and Computer Engineering, P. O. Box 116130, University of Florida, Gainesville, FL 32611, USA. Phone: (352) 392-2642. Fax: (352) 392-0044. E-mail: [email protected] .edu.