Anomaly Detection in Ground Moving Target Trajectories via Chan-Taylor Collaborative Localization
Year: 2025
Type: article
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.
Authors: Qingyuan Deng, Feilong Yang, Xunqian Tong
Institution: Jilin University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410729007