@inproceedings{15a93e27e6ec4d0ea25f1258536bc930,
title = "Localization of multiple emitters by spatial sparsity methods in the presence of fading channels",
abstract = "The problem of multiple emitters geolocation using sensor arrays is addressed, in the case of fading channels. A sparsity-based covariance-matrix fitting method is described. The procedure consists of finding a sparse representation of the sample covariance matrices obtained at the arrays, by representing each matrix by an over-complete basis. Sparsity is encouraged by an ℓ1-norm based penalty function. The penalty function is minimized by semi-definite programming. The proposed method provides useful insight and it does not require the identification of the signal and noise subspaces. Therefore, the method does not rely on a good estimate of the number of emitters. Some of the approach properties are super-resolution, robustness to noise, robustness to emitter correlation, no sensitivity to initialization and no need for synchronizing the arrays. Special emphasis is given to uncorrelated sources and uniform linear arrays.",
keywords = "Angle of arrival (AOA), Convex optimization, Covariance-matrix fitting, Geolocation, Grid-based positioning, Semi-definite programming, Sparsity, Spatial spectrum, Time of arrival (TOA), ℓ norm",
author = "Picard, {Joseph S.} and Weiss, {Anthony J.}",
year = "2010",
doi = "10.1109/WPNC.2010.5653523",
language = "אנגלית",
isbn = "9781424471577",
series = "Proceedings of the 2010 7th Workshop on Positioning, Navigation and Communication, WPNC'10",
pages = "62--67",
booktitle = "Proceedings of the 2010 7th Workshop on Positioning, Navigation and Communication, WPNC'10",
note = "null ; Conference date: 11-03-2010 Through 12-03-2010",
}