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

  • Luxi ZhangEmail author
  • Yijun Li
  • Yuanyuan Song
  • Yi He Wan
  • Yan Qiang
  • Qun Wan
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 302)

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 

Notes

Acknowledgment

The authors would like to thank the anonymous reviewers for their careful review and constructive comments. This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 61771108 and U1533125, and the Fundamental Research Funds for the Central Universities under Grant ZYGX2015Z011.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Luxi Zhang
    • 1
    Email author
  • Yijun Li
    • 1
  • Yuanyuan Song
    • 1
  • Yi He Wan
    • 2
  • Yan Qiang
    • 3
  • Qun Wan
    • 1
  1. 1.School of Information and Communication EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina
  2. 2.Jangxi Province Engineering Research Center of Special Wireless CommunicationsTongfang Electronic Technology Co., Ltd.JiujiangPeople’s Republic of China
  3. 3.Southwest Institute of Electronic TechnologyChengduChina

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