A Real-Value Algorithm of ESPRIT via Exploitation of Non-circular Sources Property
基于非圆信号的实值ESPRIT算法

A new ESPRIT-like method is presented to estimate the Direction-Of-Arrival (DOA) of non-circular sources. The basic idea of the real-value algorithm is to use the non-circular sources property of the received signals to get the sine and cosine data. Because the new data are the real-valued sine and cosine data respectively, the proposed algorithm can double the length of data by concatenating the sine and cosine data in tandem, as a result it can improve the performance of the DOA estimation and can resolve two times the number of directions when compared to those conventional ESPRIT-like estimators. More importantly, the computational complexity is reduced in the eigennalysis stage, because it exploits the eigencomposition of a real-valued covariance matrix. The simulation results show that the proposed method is superior in resolving noncoherent signal.