矢量重构解相干的波达方向估计新方法

针对相干信号波达方向(Direction of Arrival, DOA)估计问题，提出一种新的矢量重构解相干方法——变参考阵元数据互相关矢量重构算法。算法依次改变阵列参考阵元，求得所有阵元接收数据与对应参考阵元接收数据之间的互相关信息，并以此作为重构矩阵的列矢量构造一个等效协方差矩阵，然后基于MUSIC和ESPRIT算法，估计相干信号的波达方向。数学推导和理论分析表明，重构的矩阵能对相干信号完全解相干。算法不损失阵列孔径，在低信噪比和少量快拍数据条件下，估计性能要优于Toeplitz矩阵重构算法和前后向空间平滑算法。

Novel De-coherent Method of DOA Estimation Based on Vector Reconstruction

A novel de-coherence algorithm,called cross-correlation vector reconstruction by changing the reference element(CVRCRE) algoritnm,was proposed to estimate DOA of coherent signals.Using cross-correlation information of received data between the whole array and the reference element,a equivalent covariance matrix which had excellent de-coherence performance was reconstrcted.Combined with the subspace algorithms,such as MUSIC and ESPRIT,the DOA of coherent signals could be estimated.The proposed algorithm avoided the loss of array physical aperture.Computer simulation confirmed that the CVRCRE algoritnm achieved better performance than Toeplitz algorithm and FBSS algorithm under scenarios of low SNR and deficient snapshots.