1. 哈尔滨工程大学 信息与通信工程学院, 黑龙江 哈尔滨 150001
2. 海军航空大学, 山东 烟台 264001
* 邮箱: a17320691723@163.com
收稿:2024-06-26,
网络出版:2025-05-07,
纸质出版:2025-05-31
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孙殿星, 窦钥聪, 彭锐晖, 等. 基于雷达-红外成像特征级融合的角反射器智能识别算法[J]. 兵工学报, 2025,46(5):240501.
Dianxing SUN, Yuecong DOU, Ruihui PENG, et al. An Intelligent Corner Reflector Recognition Algorithm Based on Radar-infrared Imaging Feature-level Fusion[J]. Acta Armamentarii, 2025, 46(5): 240501.
孙殿星, 窦钥聪, 彭锐晖, 等. 基于雷达-红外成像特征级融合的角反射器智能识别算法[J]. 兵工学报, 2025,46(5):240501. DOI: 10.12382/bgxb.2024.0501.
Dianxing SUN, Yuecong DOU, Ruihui PENG, et al. An Intelligent Corner Reflector Recognition Algorithm Based on Radar-infrared Imaging Feature-level Fusion[J]. Acta Armamentarii, 2025, 46(5): 240501. DOI: 10.12382/bgxb.2024.0501.
海面角反射器具有极强的雷达回波特性
其形成的假目标在时域持续干扰
制造虚假态势
给导引头的精准打击带来很大挑战。针对该问题
利用红外传感器不受角反射器干扰的优势
提出一种基于雷达-红外特征级融合的多目标场景下角反射器智能识别算法。通过YOLOv8网络对红外图像的目标干扰进行初次判别
高置信度目标图像直接输出识别结果;对低置信度目标图像单独裁剪
利用雷达-红外角度信息进行目标关联并提取雷达特征;将雷达特征与红外图像作为双通道融合网络的输入
实现对低置信度目标的二次判别。经实测数据验证
所提方法的识别准确率在96%以上
所做工作对角反射器干扰识别具有参考意义。
The sea surface corner reflector exhibits extremely strong radar echo characteristics. It creates the false targets that interferes continuously in the time domain and generates a deceptive situation to bring a significant challenge to the precision strike capability of a seeker. To address this issue
the immunity of infrared sensors to corner reflector interference is leveraged
and an intelligent recognition algorithm for corner reflectors in multi-target scenarios based on radar-infrared feature-level fusion is proposed. The target interference in infrared images is preliminarily discriminated by YOLOv8 network. The high-confidence target images can directly output the recognition results. The low-confidence target images are individually cropped for target correlation using radar-infrared angular information and radar feature extraction. The radar features and infrared images are input into a dual-channel fusion network
achieving the secondary recognition of low-confidence targets. The measured data validate that the recognition accuracy of the proposed method exceeds 96%. The research work has significant reference value for corner reflector interference recognition.
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罗皓文 , 何绍溟 , 亢有为 . 一种基于迁移学习的多任务制导算法 [J ] . 兵工学报 , 2024 , 45 ( 6 ): 1787 - 1798 . DOI: 10.12382/bgxb.2023.0082 http://doi.org/10.12382/bgxb.2023.0082 针对典型的飞行器制导任务,利用深度学习算法可以有效地拟合导弹飞行状态与制导指令之间的函数关系。然而当制导任务发生变化时,其二者之间的映射关系也会随之改变,从而导致在当前环境下预训练好的模型无法直接作用于新环境,重新训练制导模型需要大量的弹道数据和巨额的时间成本。为解决上述问题,基于迁移学习的思想引入域对抗神经网络,提出基于迁移学习的多任务制导算法。以1个含有大量标签数据的源域任务辅助2个含有极少量标签数据的目标域任务进行迁移学习,从而克服预训练与在线控制之间的环境差异。使用特征提取器和域判别器提取出对任务环境不敏感的关键特征,使神经网络学习到各个任务所共享的底层信息;为提高预测精度,分别设计针对不同任务的偏置加速度预测器。数值仿真结果表明:基于迁移学习的多任务制导算法实现了导弹在不同任务中的加速度指令预测。
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CUI K B , WANG W , CHEN X , et al. A kind of method of anti-corner reflector interference for millimeter wave high resolution radar system [C ] //Proceedings of the 2016 Progress in Electromagnetic Research Symposium.Shanghai, China:IEEE , 2016 : 1900 - 1906 .
李郝亮 , 陈思伟 , 王雪松 . 海面角反射器的极化旋转域特性研究 [J ] . 系统工程与电子技术 , 2022 , 44 ( 7 ): 2065 - 2073 . DOI: 10.12305/j.issn.1001-506X.2022.07.01 http://doi.org/10.12305/j.issn.1001-506X.2022.07.01 海面角反射器是反舰导弹的主要诱骗干扰手段之一。研究海面角反射器的极化散射特性具有重要的军事应用价值。极化旋转域解译方法能够有效挖掘目标散射多样性中蕴含的丰富散射信息。本文利用极化相关方向图解译工具分析了典型三面角和二面角结构的极化旋转域特性差异。在此基础上以八面体角反射器和二十面体角反射器为研究对象, 分析了角反射器极化旋转域特征随方位角、频率以及海况等级的变化情况, 揭示了海面角反射器极化旋转域特性演化规律。通过特征提取, 研究发现极化相关度、极化相关起伏度、极化相关特征最小值、极化相关对比度和极化相关特征反熵敏感于舰船目标和角反射器干扰的极化散射差异。研究工作为角反射器干扰的抑制和鉴别提供了关键技术支撑。
LI H L , CHEN S W , WANG X S . Research on polarization rotation domain characteristics of sea surface corner reflectors [J ] . Systems Engineering and Electronics , 2022 , 44 ( 7 ): 2065 - 2073 . (in Chinese)
韩静雯 , 杨勇 , 连静 , 等 . 基于极化与距离像特征融合的雷达导引头角反射器鉴别方法 [J ] . 系统工程与电子技术 , 2024 , 46 ( 11 ): 3658 - 3670 . DOI: 10.12305/j.issn.1001-506X.2024.11.08 http://doi.org/10.12305/j.issn.1001-506X.2024.11.08 角反射器形成的强假目标干扰给反舰导弹雷达导引头目标识别带来了严峻的挑战。为提高反舰导弹雷达导引头抗冲淡式角反射器干扰能力, 提出一种基于极化与高分辨距离像(high resolution range profile, HRRP)多特征融合的角反射器鉴别方法。结合3种场景下的实验数据, 首先从海杂波中提取雷达导引头目标回波信号; 其次, 分析了角反和舰船回波的峰值个数、径向尺寸等5个距离像特征, 以及极化相关系数均值等3个极化特征。实验数据处理结果表明, 舰船与单个角反特征差异明显, 与阵列角反特征差异减小; 然后利用支持向量机(support vector machine, SVM)方法, 基于实验数据设计5组测试, 分别检验了单特征和多特征融合的鉴别性能。测试结果表明, 单特征鉴别方法性能不稳定, 而所提出的三特征融合鉴别方法更具稳健性, 在5组测试中鉴别准确率均达到92.86%以上。
HAN J W , YANG Y , LIAN J , et al. Radar seeker corner reflector identification method based on fusion of polarization and range profile features [J ] . Systems Engineering and Electronics , 2024 , 46 ( 11 ): 3658 - 3670 . (in Chinese)
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吴国庆 , 王罗胜斌 , 庞晨 , 等 . 雷达极化域变焦角反组合体对抗方法:抗冲淡式干扰 [J ] . 电子学报 , 2022 , 50 ( 12 ): 2969 - 2983 . DOI: 10.12263/DZXB.20220979 http://doi.org/10.12263/DZXB.20220979 雷达导引头末制导阶段易被角反干扰诱偏,导致对海精确打击效能急剧下降,导引头抗角反干扰能力提升需求迫切.新型充气式角反覆盖频段广,散射截面积大,多个角反阵列排布可模拟类似于舰船的假目标,形成冲淡式干扰态势,需要对角反阵列进行辨识.常用的对抗手段包括一维距离像特征鉴别和极化分解特征鉴别,前者受限于空间几何关系,后者受限于极化测量精度,抗干扰效能皆有限.物理上,舰船为包含复杂结构的连续刚体,角反阵列为散射结构一致的多个离散点,两者回波的极化特性存在显著差异.本文从极化域变焦超分辨原理出发,建立了角反阵列和舰船的极化雷达信号模型,通过调控收发极化改变散射点的相干叠加效果,构建极化-距离二维图像并提取相关性特征参数表征目标差异,结合支持向量机提出角反阵列辨识算法,实现抗冲淡式角反干扰.仿真实验结果表明,所提算法角反鉴别性能鲁棒性强,可有效对抗冲淡式干扰,鉴别精度优于极化特征分解方法,在低信噪比条件下平均提升7.5%,在交叉极化隔离度高于-25 dB条件下平均提升27.3%.
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李波 , 韩月 , 丁翔 , 等 . 攻击地面群目标的空地导弹雷达与红外复合制导方法 [J ] . 兵工学报 , 2018 , 39 ( 5 ): 919 - 926 . DOI: 10.3969/j.issn.1000-1093.2018.05.011 http://doi.org/10.3969/j.issn.1000-1093.2018.05.011 单一雷达制导的空地导弹在攻击地面群目标时,往往因为末制导阶段雷达导引头不能锁定单一目标而导致攻击失败。针对该问题,提出一种雷达与红外复合制导方法。建立四波束天线雷达导引头模型和六辐射计红外导引头模型,设计一套包含雷达单独制导、雷达与红外共同制导和红外单独制导3个阶段的雷达与红外复合制导方案,实现空地导弹对地面群目标攻击过程的仿真。以导引头误差角、导弹过载以及脱靶量为指标,对比分析单一雷达制导模式和复合制导模式下的攻击效果。仿真结果表明,在目标数量较多的情况下,相对于单一制导模式,复合制导模式下的导弹过载更稳定,命中率更高。
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