Title :
Moving target detection for polarimetric multiple-input multiple-output radar in Gaussian clutter
Author :
Na Li ; Guolong Cui ; Lingjiang Kong ; Qing Huo Liu
Author_Institution :
Dept. of Signal & Inf. Process., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
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.
Keywords :
Gaussian processes; MIMO radar; antenna arrays; antenna radiation patterns; covariance matrices; maximum likelihood estimation; object detection; radar antennas; radar clutter; radar detection; radar polarimetry; radar signal processing; receiving antennas; statistical testing; transmitting antennas; Cramer-Rao bound; Gaussian clutter; covariance matrix estimation; generalised likelihood ratio test; generic number polarisation channels case; maximum-likelihood target velocity estimation problem; model-based strategies; moving target detection problem; polarimetric MIMO radar; polarimetric detector; polarimetric multiple-input-multiple-output; receive antennas; transmit antennas;
Journal_Title :
Radar, Sonar & Navigation, IET
DOI :
10.1049/iet-rsn.2014.0157