@inproceedings{597c62993ed8460a9ef07657d9fa612d,
title = "Convex relaxation approaches to maximum likelihood DOA estimation in ULA's and UCA's with unknown mutual coupling",
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 = "DOA estimation, Maximum likelihood, UCA, ULA, semidefinite relaxation",
author = "Kehu Yang and Shu Cai and Luo, {Zhi Quan}",
year = "2011",
month = aug,
day = "18",
doi = "10.1109/ICASSP.2011.5947006",
language = "English (US)",
isbn = "9781457705397",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "2556--2559",
booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",
note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",
}