适用于相干信号高分辨测向的方向向量重构算法

Steering Vector Reconstruction Method for DOA Estimation of Coherent Signal

针对浅海波导中相干多径信号的波束形成与方位估计问题,提出了一种相干信号方向向量重构算法。该算法利用特定几何结构基阵阵列流形所具有空间平移不变性,基于特征分解估计出的空间特征向量,重构出基阵对每个相干信号的方向向量,再利用方向向量扫描得到的波束图中谱锋的位置估计出信号的方位,从而实现了对入射到基阵上的所有相干信号的捕获与方位估计。由于相干信号的方位估计过程是相互独立的,因此方向向量维数的减小并不会降低算法的角度分辨力。水池实验数据处理结果验证了该方法的有效性。

An effective method is proposed for recovering coherent signals impinging on a uniform linear array and estimating their directions of arrival （DOAs）. The spatial signature is blindly estimated from the eigen-decomposition of the covarimace matrix, where the steering vectors to all coherent signals are reconstructed directly by using the property of sub-array shifi-invarimace. When used as the array weighting, the steering vectom will provide recovered signals in corresponding beams. DOAs can be estimated from the angular spectrum subsequently. Results from the real data analysis are in good agreement with theoretical analysis. Our method not only can resolve closely spaced coherent signals, but also is shown to be more robust to system errom compared to some other DOA estimation algorithms.