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Volume 43 Issue 10
Oct.  2021
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Zhiyu QU, Chaoran WANG, Meng SUN. Tracking Method of Moving Target for Three-satellite TDOA/FDOA/DOA System Based on Improved IEKF Algorithm[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2871-2877. doi: 10.11999/JEIT200526
Citation: Zhiyu QU, Chaoran WANG, Meng SUN. Tracking Method of Moving Target for Three-satellite TDOA/FDOA/DOA System Based on Improved IEKF Algorithm[J]. Journal of Electronics & Information Technology, 2021, 43(10): 2871-2877. doi: 10.11999/JEIT200526

Tracking Method of Moving Target for Three-satellite TDOA/FDOA/DOA System Based on Improved IEKF Algorithm

doi: 10.11999/JEIT200526
Funds:  The National Natural Science Foundation of China (61801143), The Fundamental Research Funds for the Central Universities (3072020CF0814)
  • Received Date: 2020-06-29
  • Rev Recd Date: 2020-12-09
  • Available Online: 2020-12-31
  • Publish Date: 2021-10-18
  • In case of the traditional three-satellite time-frequency difference positioning system with unknown elevation, it will produce positioning errors caused by the target speed to the moving state radiation source. A new method of fusion passive tracking is proposed, which uses the Direction Of Arrival (DOA) information of the main star and combines the Time Difference Of Arrival (TDOA) and Frequency Difference Of Arrival (FDOA) information of the three satellites. First, a positioning model is established on the basis of coordinate system transformation, and on this basis, an improved Iterative Extended Kalman Filter (IEKF) algorithm is used to track moving objects of unknown elevation. The simulation results of the algorithm show that this method can realize the positioning, tracking and speed measurement of the moving radiation source without knowing the height information of the target, and the position and speed estimation of the target are improved.
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