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Optimal sensor placement for source tracking under synchronization offsets and sensor location errors with distance-dependent noises
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DOI：10.1016/j.sigpro.2021.108399.png)
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Abstract
En 中文
This paper focuses on the problem of source tracking in the 3-D space using a time-difference-of-arrival (TDOA)-based localization system. Different from existing studies, we consider a more realistic data model that includes synchronization offsets, sensor location errors and distance-dependent noises, which dramatically complicates source tracking with a TDOA-based localization system. Then, we address the optimal sensor placement under the restriction of geographical conditions and derive the closed-form determinant expression of the Fisher information matrix (FIM) with the minimum amount of the sensors, which forms the criterion for designing the optimal sensor configuration. Finally, combining with the maximum likelihood estimation (MLE), Kalman filtering and sensor motion strategy, we propose a source tracking scheme guided by the optimal sensor placement configuration. Mathematical analyses and numerical simulations validate the optimal sensor placement and efficiencies of the source tracking scheme. (c) 2021 Elsevier B.V. All rights reserved.
Keywords:
Time difference of arrival
Fisher information matrix
Optimal sensor placement
Maximum likelihood estimation
Kalman filtering
Journal
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9.9K
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1.7W
