Title: Moving target tracking method in intelligent transportation system based on vehicle networking environment

Authors: Dong-Yuan Ge; Xi-Fan Yao; Wen-Jiang Xiang; Rui-Bo He

Addresses: School of Mechanical and Transportation Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China ' School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China ' School of Mechanical and Energy Engineering, Shaoyang University, Shaoyang 422004, China ' School of Mechanical and Transportation Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China

Abstract: In order to improve the anti-jamming ability of moving target tracking in intelligent transportation system (ITS) and avoid noise interference, a moving object tracking method based on vehicle network environment is proposed in this paper. The method of internet of vehicles is used to collect the echo signal of moving vehicle target in ITS, and the wavelet entropy feature is selected by multi-wavelet scale feature decomposition. According to the correlation feature tracking and identifying, the information model of target signal detection under the environment of internet of vehicles is established. The time-frequency characteristics of target signal and the high-order statistical characteristics of signal are analysed by using discrete orthogonal wavelet transform. The adaptive ability is enhanced and the moving target tracking and recognition in ITS is realised. The simulation results show that the method has strong anti-jamming ability, improves tracking accuracy, and has good recognition and notification capabilities.

Keywords: vehicle networking; intelligent transportation system; moving target; tracking; signal detection.

DOI: 10.1504/IJVICS.2022.127414

International Journal of Vehicle Information and Communication Systems, 2022 Vol.7 No.3, pp.277 - 289

Received: 28 Sep 2020
Accepted: 20 Jan 2021
Published online: 05 Dec 2022 *

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