摘要
为提高分布式MIMO雷达的弱目标探测能力,提出一种基于广义互相关的分布式MIMO雷达信号合成算法。该算法先从同一天线接收的正交信号时延估计和不同天线接收信号的时延估计两个方面,利用广义互相关时延估计方法,对信号的时延差进行计算,再将所得合成信号作为新的信号对余下信号进行时延差估计,在完成多通道时延差补偿后,通过对合成信号相对权值和自相关系数关系进行分析,获得多个信号的相对权值,进而加权完成信号合成。仿真结果表明,所提算法可有效提高信噪比,相比已有算法具有更好的抗相位噪声性能。
To improve the weak target detection capability of distributed MIMO radar,a distributed MIMO radar signal combining algorithm based on generalized cross-correlation is proposed.The algorithm first uses the generalized cross-correlation delay estimation method to calculate the delay difference of multiple orthogonal signals received by the same antenna and the delay difference of the same signal received by different antennas.Then the resulting combined signal is used as a new signal to estimate the delay difference of the remaining signals.After completing the multi-channel delay difference compensation,by analyzing the relationship between the relative weight of the synthesized signal and the autocorrelation coefficient,the relative weight of multiple signals is obtained,and then the signal synthesis is performed by weighting.The simulation result shows that the proposed algorithm can effectively improve the signal-to-noise ratio and has better performance against phase noise than existing algorithms.
作者
王盛
吕树恩
WANG Sheng;LYU Shu’en(Information Engineering University, Zhengzhou 450001, China)
出处
《信息工程大学学报》
2020年第4期391-395,共5页
Journal of Information Engineering University
关键词
分布式MIMO雷达
信噪比改良
时延补偿
合成权值估计
distributed MIMO radar
signal to noise ratio improvement
delay compensation
composite weight estimation
