基于伪数据相关矩阵二次重构的DOA估计新算法

针对传统波达方向估计算法在强信号邻近时弱信号难以估计和信源相干情况下算法性能失效的问题，通过对传统波达方向估计算法的理论推导和研究分析，变换阵元的数据接收矩阵来重构协方差矩阵，再对新的协方差矩阵对应信号的较大特征值进行重新排序，构造出伪数据相关矩阵，并结合MUSIC谱进行谱峰搜索完成对强弱邻近相干信源的波达方向估计.通过仿真比较，结果表明新算法消除了信号的相干性，不造成阵列孔径损失，并能对强弱邻近信号作出准确估计.

New Algorithm of DOA Estimation Based on the Twice Reconstruction of Pseudo Data Correlation Matrix

Due to the problem that the traditional direction of arrival (DOA) estimation algorithm can hardly estimate the weak signal when the strong signal is adjacent and it will fail when the signals are coherent， the covariance matrix was reconstructed by corresponding transformation for the received data matrix of array elements on the basis of theoretical derivation and analysis of traditional estimation algorithms. Then the pseudo data correlative matrix was constructed by rearranging the larger eigenvalues of the reconstructed covariance matrix. Finally combined with the MUSIC spectrum to search spectral peaks， the DOA estimation of strong and weak adjacent coherent signals were finished. By simulation， the results show that the coherence of signals could be eliminated by the proposed algorithm without reducing the array aperture. Whats more， the DOA of strong and weak adjacent signals could be estimated accurately.