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Anomaly Detection in Ground Moving Target Trajectories via Chan-Taylor Collaborative Localization

Qingyuan Deng, Feilong Yang, Xunqian Tong
Vol.5, No.2, pp.111-121, 2025 DOI: 10.62051/ijmee.v5n2.13 March 27, 2025
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Abstract: To address the limitations in positioning accuracy and environmental adaptability of vibration-aware target monitoring systems, an enhanced TDOA acoustic source localization method based on Chan-Taylor collaborative algorithm is proposed in this study. A two-phase collaborative localization model is constructed by integrating the high-precision characteristics of Chan's algorithm with the strong robustness of Taylor series expansion method. A virtual-real mapped simulation monitoring platform is established through digital twin technology, achieving dynamic interactive verification between physical and virtual spaces. Experimental results demonstrate that the improved algorithm attains 92.7% positioning accuracy in target trajectory reconstruction. Under virtual-real fusion testing conditions, the system achieves continuous target tracking within an 80-100 meter radius monitoring range in complex terrains.
Keywords: Chan-Taylor, Ground Moving Target Trajectories, Virtual-real Mapped Simulation Monitoring Platform
APA Citation: Qingyuan Deng, Feilong Yang, Xunqian Tong (2025). Anomaly Detection in Ground Moving Target Trajectories via Chan-Taylor Collaborative Localization. International Journal of Mechanical and Electrical Engineering, 5(2), 111-121. https://doi.org/10.62051/ijmee.v5n2.13

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