@inproceedings{bb71c6b2676049e294e5c877aec575cc,
title = "Coherent MIMO radar with sparse recovery: Joint vs. separate range and azimuth estimation",
abstract = "An optimal joint estimation of the ranges, azimuth angles, and reflection coefficients for multiple targets in coherent multiple-input multiple-output radar is computationally intractable. We provide a numerical comparison of different estimators that all use sparse recovery for the discretized range parameter to reduce algorithmic complexity. The methods differ in whether estimation of angles and ranges is performed jointly or separately and in whether the azimuth angle is discretized, too. Our results show that joint estimators perform better than separate estimators and that introducing an angular grid adds robustness for low SNR values, but decreases accuracy for high SNR values.",
keywords = "MIMO radar, block sparsity, compressed sensing, imaging, sparse recovery",
author = "Lorenz Weiland and Thomas Wiese and Wolfgang Utschick",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 ; Conference date: 08-11-2015 Through 11-11-2015",
year = "2016",
month = feb,
day = "26",
doi = "10.1109/ACSSC.2015.7421199",
language = "English",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "594--598",
editor = "Matthews, {Michael B.}",
booktitle = "Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015",
}