基于APC技术的空间分集MIMO雷达目标检测  

Spatial diversity MIMO radar detection based on adaptive pulse compression

作　　者：周宪英[1] 乔铁英 

机构地区：[1]92941部队96分队 [2]92853部队4分队

出　　处：《信息技术》2015年第6期177-181,191,共6页Information Technology

摘　　要：为有效地抑制样本随机性的影响,改善MIMO雷达的检测性能,通过分析已有的基于迭代最小均方误差(RMMSE)估计和迭代最大化输出信噪比(RMSNR)准则的APC技术,指出样本随机性是影响以迭代APC技术为基础的检验统计量检测性能的重要因素。提出基于RMMSE和RMSNR的多通道多脉冲平均APC(MMA-APC)技术,并以此为基础构造检验统计量。基于自适应脉冲压缩(APC)技术研究了空间分集MIMO雷达相参脉冲串条件下的目标检测问题。This paper investigates the target detection problem in spatial diversity MIMO radar with coherent pulse-train using the adaptive pulse compression（ abbr. APC） techniques. By analyzing the properties of the existing APC techniques based on the reiterative minimum mean-square error（ abbr.RMMSE） estimation criterion and reiterative maximum signal-to-noise ratio（ abbr. RMSNR） criterion,it is found that the randomicity of samples is an important factor in affecting the detection performance of test statistics which adopts the reiterative APC techniques. In order to suppress effectively the influence of the samples＇ randomicity and improve the detection performance of MIMO radar,the RMMSE-based and RMSNR-based multi-channel and multi-pulse average APC（ abbr. MMA-APC） techniques are proposed and used to design test statistics in this paper. According to the numerical simulation and analysis,some helpful suggestions for improving MIMO radar detection performance are given out as follows.

关 键 词：空间分集MIMO雷达 目标检测 多通道多脉冲平均 自适应脉冲压缩 

分 类 号：TP957.51[自动化与计算机技术]