一种新的阵列信号降维SMI算法的性能分析  

PERFORMANCE ANALYSIS OF A NEW REDUCED-DIMENSION SMI ALGORITHM FOR ADAPTIVE ARRAYS

作　　者：罗毅[1] 顾红[1] 刘国岁[1] 

机构地区：[1]南京理工大学电光学院,江苏南京210094

出　　处：《兵工学报》2000年第4期305-309,共5页Acta Armamentarii

摘　　要：本文从信杂噪比损失因子的角度出发 ,研究了利用随机降维变换矩阵对阵列信号进行 SMI降维自适应 (样本协方差矩阵求逆法 )处理时输出信杂噪比的变化情况。通过分析发现 ,降维变换矩阵对降维自适应处理的性能有很大影响。特别地 ,对文中给出的一种降维变换矩阵做了深入的研究。Performance of reduced-dimension adaptive arrays is discussed. It is pointed out that, when covariance matrix of the clutter is known, reduced-dimension adaptive processing can be implemented without any loss in performance compared with that of the full-dimension adaptive processing, provided a specific reduced-dimension transform is applied. When the covariance matrix of the clutter is unknown, reduced-dimension adaptive processing can also be implemented by using a random transform matrix, and its performance can be controlled.

关 键 词：阵列信号处理 自适应信号处理 杂波抑制 

分 类 号：TJ-55[兵器科学与技术]