镜像压缩的传播算子新算法  

A New Propagator Algorithm Based on Image Compression

作　　者：朱进勇[1] 王立冬[1] 孟亚峰[1] 

机构地区：[1]军械工程学院电子与光学工程系,石家庄050003

出　　处：《电光与控制》2017年第4期23-26,66,共5页Electronics Optics & Control

基　　金：国家自然科学基金(61372039)

摘　　要：传播算子(PM)用线性运算代替了特征值分解,从而降低了运算量,但仍需要在整个空间谱内遍历搜索,且在低信噪比时估计性能严重下降。在PM算法的基础上,提出了一种镜像压缩PM(IC-PM)算法,该算法利用传播算子与导向矢量的正交特性,在一维空间内构造出真实信源的镜像信源,等效于对整个空间谱进行了压缩。理论分析和仿真实验证明,IC-PM算法能够将PM算法的运算量降低一半,同时,在低信噪比情况下的估计精度相应提高。The Propagator Method （PM） replaces the eigenvalue decomposition with linear operation, in which the computational complexity is reduced but traversing search within the whole space spectrum is still needed, and the estimation performance degrades seriously under low SNR. In this paper, an Image Compression PM （IC-PM） algorithm is presented on the basis of the PM algorithm. The IC-PM algorithm uses the orthogonal characteristics of the propagator and guide vector, and constructs the real source in one dimensional space image of the source, which is equivalent to the entire spatial spectrum in the compression. Theoretical analysis and simulation experiments show that the IC-PM algorithm can reduce the computational complexity to half of the PM algorithm, and increase the estimation accuracy under the condition of low SNR.

关 键 词：镜像压缩 测向 传播算子 波达方向角 信号处理 

分 类 号：TN911.7[电子电信—通信与信息系统]