@inproceedings{a596f864a85a4fa192c7c4c330989b48,
title = "Expected likelihood for compressive sensing-based DOA estimation",
abstract = "This work addresses the problem of spatial compressive sensing (SCS) DOA estimation performance evaluation by exploiting an estimation-theoretic method known as expected likelihood (EL). This work provides a novel application of the EL method to mitigate two bias sources present in the SCS DOA estimation approach due to discretization of the azimuth bearing space and L 1-regularization.",
keywords = "Expected likelihood, Grid bias, Regularization bias, Spatial compressive sensing",
author = "I. Bilik and T. Northardt and Y. Abramovich",
year = "2012",
month = dec,
day = "1",
doi = "10.1049/cp.2012.1710",
language = "English",
isbn = "9781849196765",
series = "IET Conference Publications",
number = "603 CP",
booktitle = "IET International Conference on Radar Systems, Radar 2012",
edition = "603 CP",
note = "IET International Conference on Radar Systems, Radar 2012 ; Conference date: 22-10-2012 Through 25-10-2012",
}