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双基地MIMO雷达多目标定位
引用本文:程院兵,顾红,苏卫民.双基地MIMO雷达多目标定位[J].应用科学学报,2013,31(1):53-58.
作者姓名:程院兵  顾红  苏卫民
作者单位:南京理工大学电子工程与光电技术学院,南京210094
基金项目:国家部委基金(No.9140A07010311BQ02);南京理工大学自主科研专项计划基金(No.2010ZDJH05)资助
摘    要:针对双基地多输入多输出雷达目标定位问题,提出一种基于联合矩阵上三角化的收发角度估计算法. 将收发角度估计问题转化为联合矩阵上三角问题,采用扩展QZ迭代算法对其求解,估计收发阵列流型矩阵,最后利用谱分析算法恢复收发角. 该算法充分利用匹配滤波输出的所有信息,无需二维谱峰搜索,每次迭代均可得到精确的闭式解. 与现有算法相比,该方法的角度估计精度更高,且收发角可自动配对. 仿真结果表明所提算法的有效性.

关 键 词:多输入多输出雷达  发射角  接收角  联合矩阵上三角化  扩展QZ迭代  
收稿时间:2011-08-25
修稿时间:2011-10-03

Multi-target Localization for Bistatic MIMO Radar
CHENG Yuan-bing , GU Hong , SU Wei-min.Multi-target Localization for Bistatic MIMO Radar[J].Journal of Applied Sciences,2013,31(1):53-58.
Authors:CHENG Yuan-bing  GU Hong  SU Wei-min
Institution:School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China
Abstract:To solve the target localization problem in a bistatic multiple-input multiple-output (MIMO) radar, a method based on upper-triangularization of the joint matrix is proposed to estimate the direction of departure (DOD) and direction of arrival (DOA). The angle estimation is first transformed to a joint-matrix
upper-triangularization problem. The extended QZ iteration algorithm is then used to solve the problem. The steering matrices of transmission and receiving are estimated. Thus, the DOD and DOA are recovered by spectrum analysis. The proposed method uses the full information in the matched filter output without the need of two-dimensional search for the spectral peaks. It produces an accurate closed form solution in each iteration. Compared with the existent approaches, the proposed method provides better angle estimation accuracy with the DOD and DOA automatically paired. Effectiveness of the method is shown in simulation.
Keywords:multiple-input multiple-output (MIMO) radar  direction of departure (DOD)  direction of arrival (DOA)  joint matrix upper-triangularization  extended QZ iteration  
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