摘要
本文基于检测前跟踪技术研究了MIMO雷达系统中多个运动目标的早期预警问题,在推导已知目标数量时的二元广义似然比检验的基础上,提出了一种次优的基于"逐目标消除和极坐标Hough变换(STC-PHT)"的多目标检测前跟踪算法,并推导了该算法的虚警概率和检测概率表达式.与以往的多目标检测前跟踪算法相比,新算法具有较低的计算量,且本质上无需目标数量的先验信息,避免了目标数量未知时需执行多元假设检验的问题.仿真分析表明,新算法能有效地改善MIMO雷达在低信噪比条件下的检测性能.
This paper investigated the early detection problem of multiple moving targets in MIMO radar systems using the track-before-detect（TBD） techniques.Based on the binary generalized likelihood ratio test（GLRT） with a priori known number of targets,a suboptimum multi-target TBD algorithm using successive-target-cancellation and polar Hough transform（STC-PHT） was proposed,and false alarm probability and detection probability formulae were derived.Compared with previous multi-target TBD algorithms,the new proposed algorithm has low computational complexity,no need for the prior information of the number of targets,and avoids the implementation of multiple hypothesis tests when the number of targets is unknown.The simulation results show that the new proposed algorithm can effectively improve the detection performance of MIMO radar at low signal-to-noise ratio.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第6期1449-1453,共5页
Acta Electronica Sinica
基金
国家自然科学基金项目(No.60802088
No.60672140)
教育部新世纪优秀人才支持计划(No.NCET-05-0912)
关键词
MIMO雷达
逐目标消除
极坐标Hough变换
检测前跟踪
广义似然比检验
MIMO radar
successive-target-cancellation（STC）
polar hough transform（PHT）
track-before-detect（TBD）
generalized likelihood ratio test（GLRT）
