复合高斯杂波中极化MIMO雷达的自适应检测  

Adaptive detection of polarimetric MIMO radar in compound-Gaussian clutter

作　　者：赵宜楠 姜智卓 唐晨亮 周志权 

机构地区：[1]哈尔滨工业大学(威海)信息与电气工程学院,山东威海264209 [2]北京遥感设备研究所,北京100854

出　　处：《系统工程与电子技术》2015年第11期2474-2479,共6页Systems Engineering and Electronics

基　　金：国家自然科学基金(61371181);山东省自然科学基金(ZR2012FQ007)资助课题

摘　　要：基于复合高斯杂波纹理分量服从逆伽马分布的假设和分布式极化多输入多输出(multiple-input multiple-output,MIMO)雷达阵元特点,建立了雷达极化信号模型,提出了一种基于最大后验概率(maximum a posteriori,MAP)估计和广义似然比检验(generalized likelihood ratio test,GLRT)的MIMO雷达极化检测器(MAP-GLRT),该检测器利用了辅助数据估计杂波协方差矩阵以实现自适应性。通过推导检测器的虚警概率表达式,表明其相对于杂波能量具有恒虚警特性。仿真结果表明,杂波形状参数和雷达信道数量会对MAP-GLRT检测器的检测性能产生影响;相比于其他检测器,MAP-GLRT检测器在检测性能上更有优势。The polarimetric signal model of multiple-input multiple-output （MIMO） radar is formulated, based on the assumption of inverse-Gamma distribution for the texture component of compound-Gaussian clut- ter. An adaptive polarimetric detector of MIMO radar based on maximum a posteriori estimation and the gene- ralized likelihood ratio test （MAP-GLRT） is proposed. Firstly, the training data are exploited to estimate the covariance matrix of the clutter in the detector to realise the adaptability. Furthermore, the analytic expression of the false alarm probability is derived to prove constant with respect to the clutter energy. Simulation results show that the shape parameter of the clutter and the number of radar channels have an impact on the MAP-GL-RT, and the performance of MAP-GLRT is better than its counterparts.

关 键 词：多输入多输出雷达 自适应检测 极化 复合高斯 逆伽马 

分 类 号：TN957.51[电子电信—信号与信息处理]