共轭增强ESPRIT算法

Conjugate Augmented ESPRIT （CA-ESPRIT）

提出了共轭增强ESPRIT（CA-ESPRIT）算法，利用阵列输出的延迟相关函数及其共轭形成伪阵列输出，从而得到伪协方差矩阵，对其进行特征分解，用ESPRIT算法得到波迭方向。仿真实验表明，新算法可对多于阵元数的信号进行测向，其测角精度和分辨能力优于ESPRIT算法，运行时间小于有相同阵列扩展能力的MUSIC—like算法。

A new direction finding algorithm called Conjugate augmented ESPRIT （CA-ESPRIT） is proposed in this paper. The basic idea of CA-ESPRIT is to use the cross-correlation and its conjugated form to derive the pseudo-data matrix from which the pseudo covariance matrix is constructed. Then the directions of arrival of the signals are estimated by ESPRIT algorithm. Simulation results show that CA-ESPRIT can handle more sources than the number of sensors and that the angle precision and resolution performance of CA-ESPRIT algorithm is better than ESPRIT algorithm and that its runtime is shorter than that of MUSiC-like algorithm which has the same aperture extension capability as CA-ESPRIT algorithm.