Adaptive trajectory fusion method based on tracking quality evaluation

Aiming at the traditional trajectory fusion method that calculates the fusion weights only based on the tracking accuracy and does not consider the stability of different radar nodes on the target tracking, and taking into account the index factors affecting the quality of the trajectory, we have studied the tracking quality comprehensive evaluation method based on the rank-sum ratio, which provides a more comprehensive evaluation of the tracking quality of different radar nodes on the target, and based on the evaluation results, we can adjust the fusion weights of the trajectory to reduce the Based on the evaluation results, the weights of track fusion are adaptively adjusted to effectively reduce the risk of degradation of track quality after fusion, and improve the accuracy and robustness of track fusion, which has important application value. Finally, the feasibility and effectiveness of the proposed method are verified by simulation experiments.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/iseae64934.2025.11041925
Primary Topic
Simulation and Modeling Applications
Type
article
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article

Adaptive trajectory fusion method based on tracking quality evaluation

Bin Tian, Yansong Zhou, T.K. Dang, Jun Zhang et al.
Simulation and Modeling Applications
article

Adaptive trajectory fusion method based on tracking quality evaluation

Bin Tian, Yansong Zhou, T.K. Dang, Jun Zhang, Xin Deng, Wei Wang
article en

Abstract

Aiming at the traditional trajectory fusion method that calculates the fusion weights only based on the tracking accuracy and does not consider the stability of different radar nodes on the target tracking, and taking into account the index factors affecting the quality of the trajectory, we have studied the tracking quality comprehensive evaluation method based on the rank-sum ratio, which provides a more comprehensive evaluation of the tracking quality of different radar nodes on the target, and based on the evaluation results, we can adjust the fusion weights of the trajectory to reduce the Based on the evaluation results, the weights of track fusion are adaptively adjusted to effectively reduce the risk of degradation of track quality after fusion, and improve the accuracy and robustness of track fusion, which has important application value. Finally, the feasibility and effectiveness of the proposed method are verified by simulation experiments.

Openalex Percentile: Top 84%
Simulation and Modeling Applications
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Adaptive trajectory fusion method based on tracking quality evaluation — Bin Tian, Yansong Zhou, et al. · (2025) | TGRS Research Map | TGRS