基于改进鲸鱼算法和BiGRU的弹道目标HRRP识别方法

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中图分类号：TP183 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.06.11

Abstract：To address the problem time sequence feature extraction recognition high resolution range image（HRRP）for ballstic mid-course targets，a ballistic target recognition method based on optimized bidirectional gate recurrent unit （BiGRU）is proposed.Firstly，the HRRP data is processed asa bidirectional sequence，a BiGRU network is established to extract the temporal features both directions HRRP. Secondly，the double weight strategy whale optimization algorithm （DWSWOA）.Double weight factors enable higher whale optimization algorithm（WOA）converage velocity lower probability faling into local optimal solution， are used to optimize the parameters BiGRU.The experimental results target HRRP recognition based on optimized BiGRU model show that the proposed method exhibits higher accuracy in target recognition，robustness reliability on noisy data sets than the other four algorithms.

Keywords：target recognition；high resolution range prile（HRRP）；whale optimization algorithm （WOA）；bidirectional gate recurrent unit（BiGRU）；confidence

0 引言

弹道导弹具有射程远、速度快、难以拦截的特点，中段的飞行时间最长，且弹道相对固定，因此如何从中段目标群准确识别出真弹头一直是各国研究的热点问题[1-2]。（剩余15324字）