Probability Hypothesis Density Filter-Based Group Target Tracking Algorithm Using Rigid-Body Similarity Model and Measurement Fusion: Implementations Across Random Finite Set Frameworks
IF 1.5 4区 管理学Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Kai Chang, Haitao Wang, Tian Xia, Li Wang, Ziqiang Chen
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引用次数: 0
Abstract
This paper addresses the measurement quality optimisation problem in multiple resolvable group target tracking (MRGTT), proposing an improved MRGTT algorithm based on rigid-body similarity model and optimal measurement fusion. Firstly, a unified framework for group target motion and measurement description is established by introducing the rigid-body similarity model. Secondly, an optimal measurement fusion scheme derived from the minimum variance criterion is proposed, which achieves 2.5–2.8 times faster convergence speed compared to traditional equal-weight methods. Furthermore, a complete algorithm flowchart integrating group structure construction, measurement optimisation and intensity update is designed. The proposed method demonstrated exceptional adaptability across different random finite set (RFS) filtering frameworks, including Gaussian mixture probability hypothesis density (GM-PHD) and Poisson multi-Bernoulli mixture (PMBM). Simulation results show that the proposed method achieves significant improvements in OSPA distance over traditional algorithms, with 45% improvement in the GM-PHD implementation and robust performance across diverse scenario complexities in the PMBM framework, including large-scale manoeuvring scenarios. This framework-agnostic approach provides a versatile solution for resolvable group target tracking in complex scenarios such as group splitting, merging and high-clutter environments.
期刊介绍:
IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications.
Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.