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作 者:庞岳 岳富占[1] 夏正欢 张闯 王洪强 高文宁 张瑶 PANG Yue;YUE Fuzhan;XIA Zhenghuan;ZHANG Chuang;WANG Hongqiang;GAO Wenning;ZHANG Yao(Beijing Institute of Satellite Information Engineering,Beijing 100094,China)
出 处:《现代雷达》2025年第2期126-133,共8页Modern Radar
基 金:国家重点研发计划重点专项资助项目(2023YFB3905500)。
摘 要:树林遮蔽场景下的雷达回波信号存在信噪比低、信号幅度和相位起伏等问题,极大地增加了目标检测难度。针对信号级中低分辨率雷达探测树林遮蔽目标的应用需求,文中研究了一种基于改进型主成分分析(PCA)全极化雷达回波信号融合的动目标检测方法。该方法首先在杂波背景下提取动目标信号,并利用改进型PCA进行全极化雷达回波信号融合;然后分别在时间维和距离维进行目标检测,并通过非相参积累方法重检测,有效排除目标混叠和虚警干扰,从而检测出目标并提取了其关注区域;最后通过自主研发的L波段全极化雷达系统,对该方法进行了实验验证。实验结果表明:该方法对于树林遮蔽环境下动目标具有很好的检测效果,显著提升了L波段全极化雷达在树林遮蔽条件下的目标检测性能。In radar echo signals from forest-covered scenes,issues such as low signal-to-noise ratio and fluctuations in signal amplitude and phase significantly increase the difficulty of target detection.To meet the application needs for detecting forest-covered targets with low-resolution radar at the signal level,a moving target detection method based on the fusion of full polarimetric radar echo signals using improved principal component analysis(PCA)is proposed in this paper.In this method,moving target signals are first extracted from the clutter background,and the fusion of full polarimetric radar echo signals is performed using the improved PCA.Detection is then carried out in both time and range dimensions,followed by re-detection through a non-coherent accumulation method,which effectively eliminates target overlap and false alarm interference.The target is ultimately detected,and its region of interest is also extracted.Finally,the method is experimentally validated using an autonomously developed L-band fully polarimetric radar system.Experimental results demonstrate that the proposed method significantly enhances the detection performance of the L-band fully polarimetric radar in forest-covered scenes,achieving excellent detection results for moving targets.
关 键 词:L波段全极化雷达 主成分分析 数据融合 树林遮蔽场景 目标检测
分 类 号:TN958[电子电信—信号与信息处理]
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