改进的宽带指向最小方差空间谱估计算法

Improved Wide-Band Steered Minimum Variance Spatial Spectrum Estimate Algorithm Based on ULA

宽带测向一直是阵列信号处理领域研究的难点。把指向最小方差宽带测向算法(STMV)应用到均匀线阵上,通过对阵列频域采样数据的空间协方差矩阵的估计和加权平均处理,给出了空间谱估计子的改进形式。与通常的信号子空间宽带测向算法相比,提出的算法不需要对波达方向进行预估计,因此避免了预估计误差对最终估计结果的影响。理论分析和仿真实验证明了测向算法的有效性。

Wide-band direction findiag is a difficult topic of research in array signal processing field. This paper applies the steered minimum variance wideband direction finding algorithm on uniform linear array, We estimate spatial covariance matrix of sampling data in frequency domain and process it by weight average. Finally, we give improved steered minimum varianee spatial spectrum estimator. Compared with the traditional wideband signal sub-space direction finding algorithms, the proposed algorithm does not need pre-estimating of direction of arrival, and then eliminates the effect of pre-estimation error on the final estimation resuit. Theoretical analysis and extensive simulation resuhs demonstrate that the algorithm has goof performance.