多载频MIMO雷达的空时超分辨算法  

Spatial-Temporal Super Resolution Algorithm of Multi-Carrier-Frequency MIMO Radar

作　　者：杨明磊[1] 陈伯孝[1] 秦国栋[1] 张守宏[1] 

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

出　　处：《电子与信息学报》2009年第9期2048-2052,共5页Journal of Electronics & Information Technology

基　　金：2006年教育部新世纪优秀人才支持计划项目(NCET-06-0856);国家部委基金(51307050102)资助课题

摘　　要：该文建立了多载频MIMO(Multi-Carrier-Frequency MCF-MIMO)雷达的信号模型,指出信号预处理后在接收端形成一个阵元数为N t×Nr的等效阵列(N t,N r分别为发射和接收阵元数),推导出窄带情况下导向矢量是发射和接收导向矢量的kronecker积,并针对该特点提出了采用空时2维MUSIC方法来实现距离和角度的超分辨,从而提高在多目标环境中目标距离以及角度的估计精度。推导了距离和角度估计的Cramer-Rao界,并仿真研究了估计性能与信噪比、快拍数和波达方向的关系,最后给出了面阵情况下3维空时超分辨的仿真结果,验证了该算法在面阵多维情况下的有效性。The signal model of MCF-MIMO（Multi-Carrier-Frequency MIMO） Radar are constructed first in this paper.Then an equivalent array with N t × Nr antennas is formed after the signal preprocessing,where N t and N r are respectively the transmitted and received antenna number,and the equivalent steering vector is the kronecker product of transmitted steering vector and received steering vector in the case of narrow band signal.And it is proposed to adopt the Spatial-Temporal MUSIC（MUltiple SIgnal Characterization） method to realize the super resolution of range and angle based on the above characteristics and to improve the estimating precision of range and angle when there are many targets. The Cramer-Rao bound of range and angle estimation are derived and also the variation of estimation variance of range and angle with Signal to Noise Ratio （SNR）, snap number and direction of arrival are studied and simulated. Finally the simulation results of multi-dimensional spatial-temporal super resolution algorithm with planar array are presented and they validate the application of the algorithm in the case of planar array and multi-dimensional.

关 键 词：多载频MIMO雷达 多维MUSIC 空时超分辨算法 Cramer-Rao Bound(CRB) 

分 类 号：TN958[电子电信—信号与信息处理]