基于张量算法的MIMO雷达多目标角度估计

Multi-target Angle Estimation with MIMO Radar Based on Tensor Algorithm

作为军事雷达装备发展方向之一,近年双基地MIMO雷达的研究逐渐兴起,该种雷达的收发阵列布置间隔较远,阵列内阵元集中布置,发射正交信号且在接收端进行滤波分离,从而获得波形分集增益,相较于相控阵雷达有较大的目标空间分辨率优势。接收信号经过滤波处理后满足基于张量的典范多因子分解(CPD),可对这些信号应用CPD算法,以估计出相关因子矩阵并提取出目标角度信息。通过仿真实验验证了基于张量的CPD算法在双基地MIMO雷达数据模型上的应用,并准确估计出多个目标的角度值,其估计精度较其他传统算法的精度更高。

As a kind of centralized MIMO radar,the research on bistatic MIMO radar has been gradually developed in recent years. The arrangement of the transceiver arrays of this kind of radar is far apart,the array elements in the array are arranged centrally,the orthogonal signals are transmitted and can be separated at the receiving end by filtering. Thereby the radar obtains waveform diversity gain. The filtered signals satisfy a tensor-based canonical polyadic decomposition(CPD),and CPD on these signals is applied to estimate the correlation factor matrix and extract the target angle information. Through simulation experiments,it verified the application of CPD in bistatic MIMO radar model and the angle values of multiple targets are accurately estimated, its estimation accuracy is higher than that of other traditional algorithms.