Conjugate unitary ESPRIT for real sources adapted to the coherent case

Authors:
Zhigang Liu;Jinkuan Wang;Fuli Wang
Affiliations:
School of Information Science and Engineering, Northeastern University, Shenyang, China;School of Information Science and Engineering, Northeastern University, Shenyang, China;School of Information Science and Engineering, Northeastern University, Shenyang, China
Venue:
Signal Processing
Year:
2009

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Abstract

By virtue of real-valued property of some real sources, in this paper, we suggest a conjugate unitary ESPRIT (CU-ESPRIT) algorithm to exploit the conjugate information of partial array element outputs. To deal with correlated or coherent sources, we design a virtual centro-symmetric array and divide it into the virtual subarrays. Compared with the unitary ESPRIT for non-circular sources (NC unitary ESPRIT), CU-ESPRIT achieves a relative reduction of the computational complexity and an improved resolution for uncorrelated or coherent sources. Specifically, this algorithm can estimate as many as M-1 coherent sources for an array of M elements. Simulation results show the validity of our approach.