FDOA-only Localization using Particle Swarm Optimization Method

This paper addresses the problem of source localization using FDOA-only measurements. A Particle Swarm Optimization (PSO)-based FDOA-only localization method is proposed to find the optimal source position estimate. To avoid randomly generating initial particles in the whole solution space, we assume a set of virtual Time Difference of Arrival (TDOA) measurements and performs joint TDOA-FDOA localization to produce initial particles on the iso-FDOA curve that the source location must lie on if the scenario is noise-free. The updates of the positions and velocities of the proposed method are the same as those of the standard PSO method. Simulation results demonstrate the effectiveness of the proposed method.

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Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/ecnct66493.2025.11172392
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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FDOA-only Localization using Particle Swarm Optimization Method

Geochemistry and Geologic Mapping
article

FDOA-only Localization using Particle Swarm Optimization Method

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Abstract

This paper addresses the problem of source localization using FDOA-only measurements. A Particle Swarm Optimization (PSO)-based FDOA-only localization method is proposed to find the optimal source position estimate. To avoid randomly generating initial particles in the whole solution space, we assume a set of virtual Time Difference of Arrival (TDOA) measurements and performs joint TDOA-FDOA localization to produce initial particles on the iso-FDOA curve that the source location must lie on if the scenario is noise-free. The updates of the positions and velocities of the proposed method are the same as those of the standard PSO method. Simulation results demonstrate the effectiveness of the proposed method.

National University of Defense Technology (CN), China Aerospace Science and Technology Corporation (CN)
Openalex Percentile: Top 25%
Geochemistry and Geologic Mapping
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FDOA-only Localization using Particle Swarm Optimization Method · (2025) | TGRS Research Map | TGRS