数据驱动的多模复合制导信息融合及其试验验证

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doi：10.37188/OPE.20253304.0512 CSTR：32169.14.OPE.20253304.0512

Multimode composite guidance data fusion method and itsexperimentalvalidation

LIU Shuxin 1，2 ，WU Hui*，WANG Daihua¹，SHE Junchao² （1. College of Optoelectronic Engineering， Chongqing Unirversity， Chongqing 4Oo044， China; 2.Southwest InstituteofTechnical Physics，Chengdu 6lOO41，China） * Corresponding author，E-mail：13679035189@139.com

Abstract： In order to improve the guidance accuracy and anti-jamming ability of optoelectronic precision guidance guides，a data-driven fusion method based on multimode composite optoelectronic guidance guides was established.First，the physical structure of the laser/milimeter-wave radar/infrared multimode composite precision guidance was analyzed.Then， the Lagrangian interpolation and coordinate transformation method was used to realize the multimode guidance data alignment.Finally，a multimode composite guidance information fusion method based on a novel Transformer model was proposed to realize the data fusion and interference identification of multimode composite guidance guides. In order to verify the effectiveness of the proposed method，an experimental system of the guide head hang-flying was constructed.The experimental results show that the multimode composite guidance information fusion method can realize the fusion of multimode gudance in the data layer，and compared with the mutual covariance fusion method，the root-mean-square error is reduced by more than 22% ，and the probability of capture when interfered with is increased from 71% to 91% ，which greatly improves the accuracy of multimode guidance and the anti-interference ability，and can satisfy the practical needs of the multimode composite optoelectronic precision guidance application.

Key words：multimode composite guidance； deep learning；data fusion； target tracking

1引言

随着光电对抗技术的高速发展，光电导引头所受到的干扰日趋多样化与复杂化，单一模式的制导方式抗干扰能力越来越低[1-3]。（剩余10663字）