Paper
15 February 2022 A survey of the estimation and fusion methods for battlefield situation awareness
Author Affiliations +
Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 1216633 (2022) https://doi.org/10.1117/12.2616097
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong
Abstract
Constructing an accurate battlefield situation is indispensable to accomplish the combat mission. It’s difficult to build the closed-loop battlefield combat chain in the complex battlefield environment by relying on single sensing information. Thus it has been urgent for solving the problem of how to use the available multi-sensor information to complete the task of battlefield situation construction under multi-constraint and high dynamic conditions. Based on the battlefield combat mission, this paper analyzes the filtering estimation and fusion methods in battlefield situation awareness, then summarizes and prospects the development of them considering the actual constraints that exist in battlefield situation awareness network.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiangyu Yang, Chuang Song, Cheng Xu, and Mingrui Hao "A survey of the estimation and fusion methods for battlefield situation awareness", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 1216633 (15 February 2022); https://doi.org/10.1117/12.2616097
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KEYWORDS
Error analysis

Sensors

Filtering (signal processing)

Nonlinear filtering

Complex systems

Particle filters

Optimal filtering

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