基于混合非圆率信号的CESPRIT算法

根据信号常常为圆和非圆信号混合形成的这一情况，提出的做一种基于ESPRIT思想的CESPRIT算法。该算法对阵元接收数据取共轭，然后重组出新的接收数据矩阵，利用构造出的两个选择矩阵，将新接收数据矩阵在分割为两个特定子矩阵，并结合ESPRIT算法思想，对获取的两子阵间的旋转不变关系矩阵进行特征值分解。通过获得的特征值估计出信号DOA．仿真实验表明，与传统ESPRIT算法相比，该算法具有估计精度高，需要的快拍数少和处理的信号个数可大于阵元个数等优点。

New CESPRIT Algorithm Based on Mixing Non-circular Rate Signals

According to the practical situation that the signals have circular and non circular signals, an algorithm named CESPRIT based on EPPRIT was proposed. In this algorithm, the received array data are reconstructed. Their conjugate components are obtained. A new received data matrix is reconstructed. The new receive data matrix is divided into two specific sub-matrix by using two construction options matrices. And combining the ideas of ESPRIT algorithm, the DOA of signals is obtained using eigenvalue of the rotation constant relationship matrix. Simulation experiments show that compared with the conventional ESPRIT algorithm, CESPRIT has high estimation accuracy, needing fewer snapshots, with the number of signal processing greater than the number of array elements and some other merits.