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- W2436629199 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." @default.
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- W2436629199 date "2016-05-01" @default.
- W2436629199 modified "2023-09-26" @default.
- W2436629199 title "Parametric dictionary learning for TWRI using distributed particle swarm optimization" @default.
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- W2436629199 doi "https://doi.org/10.1109/radar.2016.7485245" @default.
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