一种基于协方差矩阵重构的相干信源DOA估计算法

An DOA Estimation Algorithm of Coherent Signals Based on Conviance Matrix

摘要:

针对空间相干信源的波达方向估计问题,提出了一种基于协方差矩阵重构的 TSVD-ESPRIT算法。它利用 包摘含所有信源信息的特征向量构造 Toeplitz协方差矩阵,避免了阵列有效孔径的损失,分辨率高且稳定性好；并且 利用 ESPRIT算法代替 MUSIC算法进行 DOA估计,避免了谱峰搜索,大大降低了计算量。数据仿真和分析证明了 该算法的正确性和有效性。

Abstract:

For the direction of arrival (DOA) of coherent signals, a new algorithm based on covariance matrix reconstructionnamed TSV-ESPRIT was proposed. The signal eigenvectors including the direction information of all sources was used toconstruct the Toeplitz covariance matrix. This construction method is without reducing the array aperture and increase esti.mation resolution and stability. The estimation of signal parameter via rotational invariance techniques (ESPRIT) instead ofmultiple signal classification (MUSIC) was used to avoid the peek searching and reduce the computational complexity. Sim.ulation results and analysis proved the validity and effectiveness of the algorithm.