集中式OFDM-MIMO雷达自适应检测算法
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摘要
针对频率分集条件下,集中式OFDM-MIMO雷达在未知杂波环境中的目标检测问题,首先分析了OFDM-MIMO雷达回波数据模型,由于OFDM-MIMO雷达的频率分集特性,不同频率通道回波数据相互独立,在此基础上,分别基于一步和两步广义最大似然比准则,给出了集中式OFDM-MIMO雷达GLRT和OFDM-MIMO雷达AMF两种检测器,并分析了这两种检测器的恒虚警特性。两种检测器有效利用集中式OFDM-MIMO雷达频率分集特性,提升目标检测性能,同时降低了矩阵求逆维数,以及参考单元数目的要求,并且具有恒虚警性能。计算机仿真验证了算法的有效性。
This paper studies the problem of signal detection in clutter for the colocated OFDM-MIMO radar.With frequency diversity,the data of OFDM-MIMO radar from different frequency channels are uncorrelated each other.Based on this,a one-step and a two-step generalized likelihood ratio test detectors(GLRTD)are firstly proposed which are called GLRT and AMF(adaptive matched filter)respectively.Then,the constant false alarm rate(CFAR)properties of the two proposed detectors are demonstrated.With frequency diversity,target detection performance is improved,also the computational complexity of the two detectors and the secondary range cell numbers for clutter covariance matrix estimation are reduced.The simulation results show the effectiveness of the two detectors.
This paper studies the problem of signal detection in clutter for the colocated OFDM-MIMO radar.With frequency diversity,the data of OFDM-MIMO radar from different frequency channels are uncorrelated each other.Based on this,a one-step and a two-step generalized likelihood ratio test detectors(GLRTD)are firstly proposed which are called GLRT and AMF(adaptive matched filter)respectively.Then,the constant false alarm rate(CFAR)properties of the two proposed detectors are demonstrated.With frequency diversity,target detection performance is improved,also the computational complexity of the two detectors and the secondary range cell numbers for clutter covariance matrix estimation are reduced.The simulation results show the effectiveness of the two detectors.
引文
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[2]陈诚,李洪涛,朱晓华,等.干扰背景下MIMO雷达部分相关信号设计[J].电子与信息学报,2016,38(2):442-449.
[3]冯涵哲,严俊坤,刘宏伟.一种用于多目标定位的MIMO雷达快速功率分配算法[J].电子与信息学报,2016,38(12):3219-3223.
[4]唐波,张玉,张浩.基于交替投影的MIMO雷达信号盲分离算法研究[J].电子学报,2017,45(9):2092-2097.TANG Bo,ZHANG Yu,ZHANG Hao.Blind Separation of MIMO Radar Signals Based on Alternating Projection[J].Acta Electronica Sinica,2017,45(9):2092-2097.(in Chinese)
[5]李小波,张正言,王珽,等.双基地MIMO雷达相干目标的角度快速估计算法[J].信号处理,2016,32(3):370-377.
[6]SEN S,NEHORAI A.Adaptive OFDM Radar for Target Detection in Multipath Scenarios[J].IEEETrans on Signal Processing,2011,59(1):78-90.
[7]SEN S,NEHORAI A.OFDM MIMO Radar with Mutual-Information Waveform Design for Low-Grazing Angle Tracking[J].IEEE Trans on Signal Processing,2010,58(6):3152-3162.
[8]谷文堃,王党卫,马晓岩,等.分布式OFDM-MIMO雷达非相参积累目标检测方法[J].系统工程与电子技术,2015,37(10):2266-2271.
[9]谷文堃,王党卫,马晓岩.分布式OFDM-MIMO雷达MTI处理[J].系统工程与电子技术,2016,38(8):1794-1799.
[10]谷文堃,王党卫,郑岱堃,等.分布式OFDM-MIMO雷达高速微弱目标多帧检测[J].华中科技大学学报(自然科学版),2016,44(2):65-69.GU Wenkun,WANG Dangwei,ZHENG Daikun,et al.High-Spead Weak Target Multiframe Detection Using Distributed OFDM-MIMO Phased Radar[J].Journal of Huazhong University of Science and Technology(Natural Science Edition),2016,44(2):65-69.(in Chinese)
[11]周豪,胡国平,师俊朋,等.OFDM-MIMO雷达低空目标探测性能研究[J].电波科学学报,2016,31(5):988-995.
[12]袁海锋,江朝抒.OFDM-MIMO雷达体制的多径抑制性能分析[J].信号处理,2012,28(7):1000-1005.
[13]兰星,李伟,王兴亮,等.频率分集MIMO雷达信号优化设计[J].信号处理,2015,31(8):1029-1034.
[14]FANTE R L.Multifrequency Detection of a Slowly Fluctuating Target[J].IEEE Trans on Aerospace and Electronic Systems,1996,32(1):495-497.
[15]KELLY E J.An Adaptive Detection Algorithm[J].IEEE Trans on Aerospace and Electronic Systems,1986,22(2):115-127.
[16]ROBEY F C,FUHRMANN D R,KELLY E J,et al.A CFAR Adaptive Matched Filter Detector[J].IEEETrans on Aerospace and Electronic Systems,1992,28(1):208-216.
[17]KRAUT S,SCHARF L L.MCWHORTER L T.Adaptive Subspace Detectors[J].IEEE Trans on Signal Processing,2001,49(1):1-16.
[18]PARK H,LI Jian,WANG Hong.PolarizationSpace-Time Domain Generalized Likelihood Ratio Detection of Radar Targets[J].Signal Processing,1995,41(2):153-164.