一种高机动场景下的单快拍DOA估计算法

Single Snapshot DOA Estimation Algorithm for High-speed Moving Scenarios

针对高机动场景下目标信号样本数据少,常规算法难以获取信号子空间的问题,提出一种基于改进协方差矩阵的单快拍DOA估计算法。所提算法首先对接收的单次采样数据做互相关预处理,利用预处理所得数据重构等效协方差矩阵,再基于MUSIC算法完成相干信号的DOA估计。在不损失阵列孔径的同时,算法保证了谱估计精度。计算机仿真表明,在样本量较小的情况下,所提算法能够有效估计出相干目标信号,较现有算法估计精度有所提高。

Aiming at the problem that single snapshot data for the target is sparse and conventionalalgorithm is difficult to obtain the signal subspace,a new DOA estimation algorithm for coherent signalsbased on improved covariance matrix is proposed.Firstly,the received single snapshot data ispretreated by cross-correlation,then the equivalent covariance matrix is reconstructed by using thedata obtained from the pretreatment,and then the DOA estimation of coherent signals is completedbased on the MUSIC algorithm.Without losing the aperture of the array,the proposed algorithm ensuresthe accuracy of the spectral estimation.Simulation results demonstrate that the proposed algorithm canachieve better performance than that of traditional method in high-speed mobile scenarios.