摘要
本文提出了一种空域色噪声环境下基于张量Vandermonde因子矩阵重构的多输入多输出(Multiple Input Multiple Output, MIMO)雷达角度估计方法。该方法首先将不同脉冲的匹配滤波输出进行互相关以实现对接收信号的去噪处理;然后,根据因子矩阵先验结构信息建立具有Vandermonde约束的四阶张量典范分解/并行因子分析(Canonical Decomposition/Parallel Factor Analysis, CANDECOMP/PARAFAC)模型,并推导了基于约束交替最小二乘(Alternating Least Squares, ALS)的迭代求解方法,在交替迭代过程中充分利用因子矩阵的Vandermonde结构,通过构造Toeplitz矩阵并进行Vandermonde分解的方式获得因子矩阵估计值;最后,通过最小二乘拟合方法估计目标角度。仿真结果表明本文算法能够有效提高MIMO雷达在空域色噪声下的角度估计性能。
In this paper,we propose an angle estimation algorithm based on tensor Vandermonde factor matrix reconstruction in multiple-input multiple-output(MIMO)radar with spatially colored noise.To suppress the colored noise,the proposed algorithm first achieves denoising of the received signal by the cross-correlation of the match filter outputs for different pulses.Then,using the priori information of the factor matrices,a Vandermonde constrained fourth-order tensor canonical decomposition/parallel factor analysis(CANDECOMP/PARAFAC)model is constructed.Next,we develop an iterative scheme based on constrained alternating least squares(ALS),in which the Vandermonde structure of the factor matrix is fully utilized in the alternating iteration process and the factor matrix estimates are obtained by constructing Toeplitz matrices and performing Vandermonde decompositions.Finally,the target angles can be estimated by the least square fitting method from the estimation of factor matrices.Simulations results demonstrate that the proposed algorithm effectively improves the accuracy of angle estimation in the presence of spatially colored noise for MIMO radar.
作者
陈金立
唐熠君
朱熙铖
李家强
CHEN Jin-li;TANG Yi-jun;ZHU Xi-cheng;LI Jia-qiang(School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China)
出处
《中国电子科学研究院学报》
北大核心
2023年第10期873-881,共9页
Journal of China Academy of Electronics and Information Technology
基金
国家自然科学基金资助项目(62071238)
江苏省自然科学基金资助项目(BK20191399)。
作者简介
陈金立(1982-),教授,主要研究方向为阵列信号处理;唐熠君(1998-),硕士研究生,主要研究方向为空域色噪声下的角度估计;朱熙铖(1987-),副教授,主要研究方向为毫米波雷达系统;李家强(1976-),副教授,主要研究方向为信号处理、数据处理及雷达系统设计。
