@inproceedings{655dd32981974f00b7dbde9bca68a8df,
title = "Sparse spectral fitting for direction of arrival and power estimation",
abstract = "In this paper, we present a sparse spatial spectrum estimation method which provides superresolution direction-finding performance and accurate signal power estimation simultaneously. Compressive sensing ideas are used in conjunction with a postulated model for the covariance matrix of the array output instead of the output itself. Following a preliminary analysis of the method and a geometric interpretation of the estimation process, simulation examples are presented to illustrate several performance characteristics of the technique.",
keywords = "Direction-finding, High-resolution, Power estimation, Sparsity",
author = "J. Zheng and M. Kaveh and H. Tsuji",
year = "2009",
month = dec,
day = "25",
doi = "10.1109/SSP.2009.5278548",
language = "English (US)",
isbn = "9781424427109",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
pages = "429--432",
booktitle = "2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09",
note = "2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09 ; Conference date: 31-08-2009 Through 03-09-2009",
}