Moving target detection for polarimetric multiple-input multiple-output radar in Gaussian clutter

• Published in: IET radar, sonar & navigation Vol. 9; no. 3; pp. 285 - 298
• Main Authors: Li, Na, Cui, Guolong, Kong, Lingjiang, Liu, Qing Huo
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.03.2015
• Subjects: antenna arrays; antenna radiation patterns; Clutter; covariance matrices; Covariance matrix; covariance matrix estimation; Cramer‐Rao bound; Detectors; Estimators; Gaussian; Gaussian clutter; Gaussian processes; generalised likelihood ratio test; generic number polarisation channels case; Mathematical models; maximum likelihood estimation; maximum‐likelihood target velocity estimation problem; MIMO radar; model‐based strategies; moving target detection problem; Moving targets; object detection; polarimetric detector; polarimetric MIMO radar; polarimetric multiple‐input‐multiple‐output; Radar; radar antennas; radar clutter; radar detection; radar polarimetry; radar signal processing; receive antennas; receiving antennas; statistical testing; transmit antennas; transmitting antennas; radar detection; transmitting antennas; radar antennas; generalised likelihood ratio test; generic number polarisation channels case; object detection; polarimetric multiple-input-multiple-output; covariance matrix estimation; polarimetric MIMO radar; maximum likelihood estimation; radar polarimetry; radar signal processing; receiving antennas; receive antennas; radar clutter; MIMO radar; antenna radiation patterns; model-based strategies; antenna arrays; Gaussian clutter; statistical testing; covariance matrices; Cramer-Rao bound; maximum-likelihood target velocity estimation problem; transmit antennas; Gaussian processes; polarimetric detector; moving target detection problem
• ISSN: 1751-8784; 1751-8792; 1751-8792
• DOI: 10.1049/iet-rsn.2014.0157

This study deals with the problem of moving target detection (MTD) for polarimetric multiple-input multiple-output (MIMO) radar in the presence of Gaussian clutter. The authors extend the framework for MTD with MIMO radar to a generic number polarisation channels case. Within the polarimetric framework, the new generalised likelihood ratio test for moving target is first proposed. Then, the target velocity estimation problem is investigated. The maximum-likelihood (ML) estimator for target velocity is developed, and the corresponding Cramer–Rao bound is derived which serves as a benchmark of the estimation performance. Next, the adaptive version of the new polarimetric detector is considered. The covariance matrix is estimated using the sample covariance matrix and the model-based strategies based on the secondary data. Finally, several numerical simulations of the proposed polarimetric detector and ML estimator with typical parameters are obtained and discussed.