提出了一种基于均匀圆阵双基地MIMO雷达多目标多维角度估计的新算法。对阵列接收信号进行分析,表明其具有平行因子三线性模型特征,利用该模型低秩分解的唯一性条件,从分解得到的矩阵中联合估计出多雏角度。该方法无需谱峰搜索,可实现参数的同时估计与配对,与基于旋转不变参数估计技术(Estimation of signal parameters via rotational invarianee techniques, ESPRIT)思想的算法相比具有更高的估计精度,而且在小样本数下也能较好地工作。仿真结果验证了该算法的有效性。
A new algorithm for multi-angle estimation in bistatic MIMO radar based on the uniform circular array is presented. Analyses of the output signal of the array antennas show the trilinear model characteristics. The multi-angle can be estimated from the matrices via low- rank decomposition based on the uniqueness of parallel factor analysis (PARAFAC) decomposition. The method does not require searching spectral peak or pairing parameters. Compared with estimation of signal parameters via rotational invariance techniques (ESPRIT) method, the proposed algorithm has high precision in parameter estimation and works well under small sample sizes. The simulation results verify the effectiveness of the algorithm.