摘要
在目前信号波达方向(DOA,Direction-of-Arrival)估计中,ESPRIT算法是一种速度快、精度高的常用算法,但对于低信噪比下混合信号(同时含有相干与非相干信号),ESPRIT算法难以估计出它们的DOA。提出了一种新的同时估计相干与非相干信源的ESPRIT方法,新方法充分利用数据协方差矩阵的自相关信息和互相关信息来重构含有信号方位信息的矩阵,再从它的特征值中解得信号的到达角。新方法解决了常规ESPRIT算法不能解相干,对信噪比要求高等问题,且与同类算法相比较,分辨能力和估计精度明显提高。仿真实验证明了该方法在混合信号估计中的优越性和可靠性。
In present array signals estimation,ESPRIT algorithm is a common algorithm of high speed and precision,but it could hardly estimate DOA of the mixed signal（including both the coherent and non-coherent） in low SNR. A novel improved ESPRIT method is proposed for DOA estimation of both the coherent and non-coherent sources. The method makes suffi cient use of self-correlation and cross-correlation information of covariance matrix and reconstructs the matrix with signal direction,and thus the DOA is acquired from decomposition of the above matrix. It solves the problem that ESPRIT algorithm could not estimate mixed signal and demands a high SNR. As compared with other algorithms,the proposed algorithm is of higher resolution and precision. Simulation experiment indicates that this algorithm is advantageous and reliable in the estimation of mixed signal.
出处
《信息安全与通信保密》
2010年第5期58-60,共3页
Information Security and Communications Privacy
关键词
波达方向
混合信源
协方差矩阵
互相关
direction-of-arrival
mixed signal
covariance matrix
cross-correlation
