Gridless Super-resolution Doa Estimation with Unknown Mutual Coupling

Qing Wang; Xian Wang; Tongdong Dou; Hua Chen; Xiaohuan Wu

ICASSP 2019accepted0 citations

Gridless Super-resolution Doa Estimation with Unknown Mutual Coupling

Qing Wang, Xian Wang, Tongdong Dou, Hua Chen, Xiaohuan Wu

Abstract

In this paper, a gridless super-resolution direction-of-arrival (DOA) estimation method with unknown mutual coupling is proposed. A new clean steering vector is obtained based on the banded symmetric Toeplitz structure of the mutual coupling matrix (MCM). Further, atomic norms associated with the array structure are generated, which can provide a breakthrough in solving super-resolution estimation problem by directly working on the continuous parameter domain. Finally, a semidefinite programming (SDP) method is derived to solve this atomic norm minimization problem. Simulations are provided to verify the effectiveness of the propose method.

BibTeX

@inproceedings{icassp2019_gridlesssuperres,
  title = {Gridless Super-resolution Doa Estimation with Unknown Mutual Coupling},
  author = {Qing Wang and Xian Wang and Tongdong Dou and Hua Chen and Xiaohuan Wu},
  booktitle = {ICASSP 2019},
  year = {2019}
}