@inproceedings{97ad06f944f443b6ae319a5536999030,
title = "Parametric dictionary learning for TWRI using distributed particle swarm optimization",
abstract = "This paper considers a distributed network of through-The-wall radars for accurate indoor scene reconstruction in the presence of multipath propagation. A sparsity based method is proposed for eliminating ghost targets under imperfect knowledge of interior wall locations. Instead of aggregating and processing the observations at a central fusion station, joint scene reconstruction and estimation of interior wall locations is carried out in a distributed manner across the network. More specifically, an alternating minimization approach is utilized to solve the associated non-convex optimization problem, wherein the sparse scene is reconstructed using the recently proposed modified distributed orthogonal matching pursuit algorithm while the wall location estimates are obtained with a novel distributed particle swarm optimization algorithm (D-PSO) proposed in this paper. Existing literature on averaging consensus is leveraged to derive the D-PSO algorithm. The efficacy of proposed approach is demonstrated using numerical simulation.",
author = "Haroon Raja and Bajwa, \{Waheed U.\} and Fauzia Ahmad and Amin, \{Moeness G.\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Radar Conference, RadarConf 2016 ; Conference date: 02-05-2016 Through 06-05-2016",
year = "2016",
month = jun,
day = "3",
doi = "10.1109/RADAR.2016.7485245",
language = "English (US)",
series = "2016 IEEE Radar Conference, RadarConf 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE Radar Conference, RadarConf 2016",
address = "United States",
}