Uniform Acceleration Motion Target Location and Tracking Based on Time-Frequency Difference
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.
KeywordsTime-frequency difference location EKF UKF
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.
- 1.Chen, Y.M., Tsai, C.L., Fang, R.W.: TDOA/FDOA mobile target localization and tracking with adaptive extended Kalman filter. In: International Conference on Control (2017)Google Scholar
- 2.Ge, L., Wei, Y., Dan, S., et al.: Toward effectiveness and agility of network security situational awareness using moving target defense (MTD). In: SPIE Defense + Security (2014)Google Scholar
- 3.Reggiani, L., Morichetti, R.: Hybrid active and passive localization for small targets. In: International Conference on Indoor Positioning and Indoor Navigation (2010)Google Scholar
- 5.Venkatraman, S., Caffery, J.J.: Hybrid TOA/AOA techniques for mobile location in non-line-of-sight environments. In: Wireless Communications and Networking Conference (2004)Google Scholar
- 9.Lin, M., Sheng, L.: Multi-sensor distributed information fusion UKF filter for passive location. In: Chinese Control and Decision Conference (2010)Google Scholar