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Author: Sujuan Chen

Affiliation: College of Automobile and Rail Transit, Nanjing Institute of Technology, Nanjing, 211167, China, China

Keyword(s): Detection probability, target tracking system, incomplete measurement, filtering algorithm.

Abstract: The detection probability of the radar of the vehicle target tracking system is often less than 1 during driving on urban roads, and the measurement data loss problem may occur. In this paper, the stability of the vehicle target tracking system is studied and the sufficient conditions are given for the stability of the mean-square exponent under incomplete measurement conditions. A suboptimal estimation algorithm for vehicle target tracking motion parameters under incomplete measurement conditions is given when the detection probability is known. The simulation results show that the proposed filtering algorithm is effective.

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Paper citation in several formats:
Chen, S. (2020). A Suboptimal Estimation Algorithm for Vehicle Target Motion Parameters with Incomplete Measurement. In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE, ISBN 978-989-758-412-1; ISSN 2184-741X, pages 114-120. DOI: 10.5220/0008872301140120

@conference{icvmee20,
author={Sujuan Chen.},
title={A Suboptimal Estimation Algorithm for Vehicle Target Motion Parameters with Incomplete Measurement},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE,},
year={2020},
pages={114-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008872301140120},
isbn={978-989-758-412-1},
issn={2184-741X},
}

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - ICVMEE,
TI - A Suboptimal Estimation Algorithm for Vehicle Target Motion Parameters with Incomplete Measurement
SN - 978-989-758-412-1
IS - 2184-741X
AU - Chen, S.
PY - 2020
SP - 114
EP - 120
DO - 10.5220/0008872301140120