Supervisor: Southwest Ordnance Industry Bureau
Organizer: Chongqing Ordnance Industry Society
Chongqing University of Technology

Research on RBF neural network and SLAM system localization in the use of strapdown seeker

DOI: 10.11809/bqzbgcxb2024.07.018
Keywords: strapdown seeker; phase matching; RBF neural network; online learning; SLAM system
Abstract: This paper focuses on the problem of phase matching required for the detector of the strapdown seeker detector and IMU transfer function. An online learning RBF neural network is used to design the phase matching algorithm, and the Z transform is used for discretization processing;The phase matching algorithms for strapdown single mode and multimode seekers were designed and analyzed, and their effectiveness was verified through MATLAB/Simulink joint simulation experiments.Besides, combined with the SLAM system for simultaneous positioning correction, the positioning accuracy of the missile and the guidance accuracy of the full strapdown seeker are improved.
Issue: Vol. 45 No. 7 (2024)
Published: 2024-07-26
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