基于矩阵分解的多输入多输出雷达解相关算法  

Matrix decomposition based de-correlation algorithm in MIMO radars

作　　者：郭小路[1] 陶海红[1] 党博[2] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,西安710071 [2]西安石油大学,西安710065

出　　处：《电波科学学报》2015年第6期1033-1038,共6页Chinese Journal of Radio Science

基　　金：国家自然科学基金(60971108);西安电子科技大学基本科研业务费资助项目(BDY061428)

摘　　要：多输入多输出(Multi-input Multi-output,MIMO)雷达的多发射正交波形自相关和互相关特性会影响目标参数估计的性能,完全正交的多组波形又很难获得,针对此,提出一种基于矩阵分解的双基地MIMO雷达多发射波形解相关算法,使不完全正交的多组波形解相关.本算法通过对多发射波形相关矩阵做矩阵分解和迭代运算,实现波形解相关.通过对收发角度联合估计精度的分析,验证了所提算法的可行性和有效性.The performance of the target parameters estimation is greatly affected by the auto-correlation and cross-correlation of the multiple transmit waveforms. However, for bistatic multi-input multi-output (MIMO) radar, the orthogonal multiple waveforms are usually difficult to obtain. In order to solve this problem, a waveforms de-correlation algorithm is presented in this paper, which decorrelates the correlation through matrix decomposition followed by iteration. By the joint direction of departure (DOD) and direction of arrival (DOA) estimation, the simulation and performance analysis show the effectiveness and validity of the proposed algorithm. Copyright © 2015 by Editorial Department of Chinese Journal of Radio Science

关 键 词：双基地雷达 多输入多输出 波形相关性 矩阵分解 迭代 

分 类 号：TN958[电子电信—信号与信息处理]