An extended dimension music method for doa estimation of multiple real-valued sources
Li Liu, Jia Xu, Guan Wang, Xiang‐Gen Xia, Yang Gao, Teng Long · 2016
The direction of arrival (DOA) estimation is a key issue in array signal processing, and the MUSIC algorithm is a kind of well-known DOA method. In this paper, an extended dimension MUSIC (ED-MUSIC) method is proposed for improving DOA estimation performance. For emitted real valued signals, the received array data is split into real and imaginary parts that are combined into a sampling vector of a virtual array with twice elements. It is found that the proposed ED-MUSIC outperforms the classical MUSIC in the DOA estimation performance and it can estimate 2M-1 real-valued sources, where M is the number of array elements. That is, ED-MUSIC is equivalent to doubling the element number as well as degree-of-freedom of an array. Finally, some numerical results are provided to demonstrate the effectiveness of the proposed method.