@inproceedings{cec57e414c004ec5bfab2fc7a2de86a1,
title = "Continuous sparse recovery for direction of arrival estimation with co-prime arrays",
abstract = "We consider the problem of direction of arrival (DOA) estimation using a newly proposed structure of co-prime arrays. A continuous sparse recovery method is implemented in order to increase resolution. We show that in the noiseless case one can theoretically detect up to MN/2 sources with only 2M+N sensors via continuous sparse recovery. The noise statistics of co-prime arrays are also analyzed to demonstrate the robustness of the proposed optimization scheme. Using numerical examples, we show the superiority of the proposed method.",
keywords = "Direction of arrival estimation, co-prime arrays, continuous sparse recovery method",
author = "Zhao Tan and Arye Nehorai and Eldar, {Yonina C.}",
year = "2014",
doi = "10.1109/SAM.2014.6882425",
language = "English",
isbn = "9781479914814",
series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",
publisher = "IEEE Computer Society",
pages = "393--396",
booktitle = "2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014",
note = "2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014 ; Conference date: 22-06-2014 Through 25-06-2014",
}