Title :
Convex relaxation approaches to maximum likelihood DOA estimation in ULA´s and UCA´s with unknown mutual coupling
Author :
Yang, Kehu ; Cai, Shu ; Luo, Zhi-Quan
Author_Institution :
ISN Lab, Xidian University, South Taibai Road #2, 710071, Xi´´an, China
Abstract :
Direction of arrival (DOA) estimation using sensor array super-resolution techniques are known to suffer from array modeling errors including array element displacements, mutual coupling, and array gain/phase perturbations. In this paper, we consider maximum likelihood (ML) DOA estimation for multiple sources in the presence of unknown mutual coupling, and propose convex semidefinite relaxation approaches to this nonlinear and non-convex problem for uniform linear arrays (ULA´s) and uniform circular arrays (UCA´s), respectively. Simulation results show that the proposed method are effective to practical applications.
Keywords :
Arrays; Copper; Direction of arrival estimation; Maximum likelihood estimation; Mutual coupling; Symmetric matrices; DOA estimation; Maximum likelihood; UCA; ULA; semidefinite relaxation;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague, Czech Republic
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5947006