Paper
1 May 2022 A method of multi-target bearings-only association and location with two platforms
Tao Jiang, Ganggang Tu, Jiutao Wu
Author Affiliations +
Proceedings Volume 12171, Thirteenth International Conference on Signal Processing Systems (ICSPS 2021); 121710E (2022) https://doi.org/10.1117/12.2631444
Event: Thirteenth International Conference on Signal Processing Systems (ICSPS 2021), 2021, Shanghai, China
Abstract
It is not easy for a single passive platform to realize target location by just bearings-only measurements, unless it carries a time-consuming laborious maneuvering. By contrast, with two platforms we could simply achieve accurate target location through triangulation approach without the need of platform maneuvering. However, this two-platform approach introduces an inter-platform association problem in multi-target scenarios, that is, one should recognize and exclude the false targets generated from wrongly paired bearings. To solve this, in this paper, a target motion analysis (TMA) based approach is proposed. Through a pre-TMA of all possible targets, the method calculates the confidence coefficients of all possible targets for recognition (real or false), which are then used to associate inter-platform bearings and select real targets. Simulation verification is performed through using Monte Carlo technique. The result demonstrates that the proposed method can achieve accurate inter-platform multi-target data association and multi-target location.
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Tao Jiang, Ganggang Tu, and Jiutao Wu "A method of multi-target bearings-only association and location with two platforms", Proc. SPIE 12171, Thirteenth International Conference on Signal Processing Systems (ICSPS 2021), 121710E (1 May 2022); https://doi.org/10.1117/12.2631444
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KEYWORDS
Target recognition

Monte Carlo methods

Detection and tracking algorithms

Motion analysis

Motion estimation

Motion models

Target detection

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