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Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21–22, 2019, Proceedings, Part II

Research Article

Uniform Acceleration Motion Target Location and Tracking Based on Time-Frequency Difference

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  • @INPROCEEDINGS{10.1007/978-3-030-36405-2_22,
        author={Luxi Zhang and Yijun Li and Yuanyuan Song and Yi He Wan and Yan Qiang and Qun Wan},
        title={Uniform Acceleration Motion Target Location and Tracking Based on Time-Frequency Difference},
        proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II},
        proceedings_a={ADHIP PART 2},
        year={2019},
        month={11},
        keywords={Time-frequency difference location EKF UKF},
        doi={10.1007/978-3-030-36405-2_22}
    }
    
  • Luxi Zhang
    Yijun Li
    Yuanyuan Song
    Yi He Wan
    Yan Qiang
    Qun Wan
    Year: 2019
    Uniform Acceleration Motion Target Location and Tracking Based on Time-Frequency Difference
    ADHIP PART 2
    Springer
    DOI: 10.1007/978-3-030-36405-2_22
Luxi Zhang1,*, Yijun Li1, Yuanyuan Song1, Yi He Wan2, Yan Qiang3, Qun Wan1
  • 1: School of Information and Communication Engineering, University of Electronic Science and Technology of China
  • 2: Jangxi Province Engineering Research Center of Special Wireless Communications, Tongfang Electronic Technology Co., Ltd.
  • 3: Southwest Institute of Electronic Technology
*Contact email: 1602295537@qq.com

Abstract

In this paper, the problem of locating and tracking moving target with uniform acceleration by moving multi-stations is studied. Based on the time-difference information and frequency-difference information of target signal arriving at different base stations, a method of locating and tracking aerial moving target based on time-frequency difference is proposed. This method is based on extended kalman filter (EKF) and unscented kalman filter (UKF) filtering algorithms respectively to locate and track moving target, and compares the locating results of the two algorithms. This method can not only locate and track the aerial target, but also estimate the velocity and acceleration information of the target. The simulation results show that the location and tracking results of this method can achieve high positioning accuracy, and the positioning accuracy of UKF is better than that of EKF and better positioning results can be obtained, which has a certain reference value for the engineering realization of multi-station moving target location and tracking in the air.

Keywords
Time-frequency difference location EKF UKF
Published
2019-11-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-36405-2_22
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