传统的解相干方法主要有空间平滑和子空间拟合两类，但这些方法或者阵列利用率低或者计算复杂度高，因此寻求计算量小且阵列利用率高的解相干测向方法有重要意义. 该文基于前后向矢量重构理论，提出一种相干信源测向方法. 根据信号导向矢量矩阵与信号子空间张成同一空间，充分利用大特征值对应的特征向量，采用前后向矢量重构方法构造列满秩的数据矩阵，利用总体最小二乘¡旋转不变子空间算法进行波达方向估计. 该方法适用于独立信源和相干信源同时存在的情况，具有良好的实用性，且运算过程简单，计算量小. 理论分析和仿真结果表明了所提方法具有优良性能.

The classical direction of arrival (DOA) estimation algorithms for coherent signals are mainly based on the spatial smoothing method and the subspace fitting algorithm. These methods suffer from small array aperture or heavy computation load. It is important to find a method for coherent signals with a large array aperture and small computation load. In this paper, a new method is proposed based on the vector reconstruction technique for coherent signals using the total least square-estimation of signal parameters via rotational invariance technique (TLS-ESPRIT) algorithm. The proposed method exploits all eigenvectors corresponding to the signal subspace and the forward-backward vector reconstruction technique to construct the receiving data matrix. The method is effective when both independent and coherent signals are incident on the array, and useful in practical signal environment. Theoretical analysis and simulation results show that the proposed method has low computation load, large array aperture and satisfactory estimation performance.