• Electronics Optics & Control
  • Vol. 31, Issue 4, 103 (2024)
ZHANG Lei1, LIU Sha2, WANG Helong1, and CHENG Xiaoliang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2024.04.016 Cite this Article
    ZHANG Lei, LIU Sha, WANG Helong, CHENG Xiaoliang. On Adaptive Multi-IRST Collaborative Localization Technology[J]. Electronics Optics & Control, 2024, 31(4): 103 Copy Citation Text show less

    Abstract

    The traditional single Infrared Search and Tracking (IRST) system lacks full coverage of observation,so it cannot provide all-dimensional situation information of the target.To solve the problem,an adaptive multi-IRST collaborative localization technology based on Geometric Dilution of Precision (GDOP) is proposed.Its core idea is to perform dual-aircraft pairing combination on multiple IRSTs,and to construct an information function oriented to localization accuracy based on the GDOP value of the pairing combination,and then to determine the federal filter information assignment coefficient.Finally,the problem of global information fusion of local estimation of dual-IRST pairing combination is solved based on the adaptive UKF federal filter algorithm,and the accurate location information of the target is obtained.The simulation results have proved that the proposed algorithm has high positioning accuracy and strong reliability.Meanwhile,it can ensure the accuracy and stability of the global positioning result.