复合高斯杂波下距离扩展目标的自适应检测

Adaptive Range-Spread Target Detectors for Compound-Gaussian Clutter

研究了复合高斯杂波下的距离扩展目标自适应检测问题.基于辅助数据,利用采样协方差矩阵(SCM)和迭代(RE)估计矩阵,建立了自适应检测器AMSDD和基于动态阈值的ADT检测器,并分析了检测器的恒虚警率(CFAR)特性.理论分析表明,基于SCM的检测器只能保持对杂波协方差矩阵结构的自适应特性;而基于RE的检测器能同时获得对杂波协方差矩阵结构和纹理分量的CFAR特性.性能分析表明,对于AMSDD和ADT来说,与采用SCM估计器相比,采用RE估计器能使检测器获得更好的CFAR特性和检测性能.另外,基于RE的ADT检测器在目标散射点个数失配时具有很好的鲁棒性.

Adaptive detection of range-spread target is addressed in compound-Gaussian clutter.Based on the secondary da- ta,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 comtxments. 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 de- tection performance. Moreover, the ADT based on RE performs robustly in the mismatch cases of the expected number of scatterers.