Bearing-only Localization Based on an Array Network with Distributed ADMM

The two-dimensional target localization problem for a network of distributed sensor sub-arrays (with a sub-array at each receiver) is investigated in the compressive sensing framework based on group sparsity, and the well-known alternating direction method of multipliers (ADMM) method is applied to derive a distributed implementation algorithm. It does not require transmission of the impinging signals from each sub-array to a central processor, while the whole optimisation process is realised in a distributed way. Simulation results show that the proposed algorithm under certain conditions performs better than the existing group sparsity based localization method in terms of localization accuracy, speed and computational complexity.

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Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868224
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Bearing-only Localization Based on an Array Network with Distributed ADMM

Gang Sun, Wei Liu
Indoor and Outdoor Localization Technologies
article

Bearing-only Localization Based on an Array Network with Distributed ADMM

Gang Sun, Wei Liu
article en

Abstract

The two-dimensional target localization problem for a network of distributed sensor sub-arrays (with a sub-array at each receiver) is investigated in the compressive sensing framework based on group sparsity, and the well-known alternating direction method of multipliers (ADMM) method is applied to derive a distributed implementation algorithm. It does not require transmission of the impinging signals from each sub-array to a central processor, while the whole optimisation process is realised in a distributed way. Simulation results show that the proposed algorithm under certain conditions performs better than the existing group sparsity based localization method in terms of localization accuracy, speed and computational complexity.

Hong Kong Polytechnic University (HK), Queen Mary University of London (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 75%
Indoor and Outdoor Localization Technologies
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