关键词: 复合高斯, 自适应检测, 距离扩展目标, 采样协方差矩阵, 协方差矩阵估计

Abstract: Adaptive detection of range-spread target is addressed in compound-Gaussian clutter.Based on the secondary data,the adaptive modified scatterer density dependent (AMSDD) detector and the adaptive-dynamic-threshold (ADT) detector are designed,with the sample covariance matrix (SCM) or the recursive estimation (RE) matrix.The theoretical analyses of constant false alarm rate (CFAR) show that,the SCM-based detectors only hold the adaptiveness to the clutter covariance matrix structure (CCMS),while the RE-based detectors can ensure CFAR to both of CCMS and texture components.The performance assessment shows that,as for AMSDD and ADT,the RE-based detectors outperform the SCM-based ones,in terms of CFAR properties and detection performance.Moreover,the ADT based on RE performs robustly in the mismatch cases of the expected number of scatterers.

Key words: compound-Gaussian, adaptive detection, range-spread target, sample covariance matrix, covariance matrix estimate