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引用本文:田凯祥,李保珠,王中训,刘宁波. 低海况下多姿态海上目标特征分析[J]. 雷达科学与技术, 2024, 22(2): 126-134.[点击复制]
TIAN Kaixiang, LI Baozhu, WANG Zhongxun, LIU Ningbo. Characterization of Multi⁃Attitude Maritime Targets in Low Sea State[J]. Radar Science and Technology, 2024, 22(2): 126-134.[点击复制]
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低海况下多姿态海上目标特征分析
田凯祥,李保珠,王中训,刘宁波
1. 烟台大学, 山东烟台 264005;2. 海军装备部, 北京 100171;3. 海军航空大学,山东烟台 264001
摘要:
海上目标种类繁多,单体结构复杂,目标特性动态范围较大,具有较强的时变性。从目标特性出发,特征化表征海面与目标的物理差异是解决海上目标检测的有效途径。本文以此为背景,利用X波段雷达开展海上多姿态目标数据采集试验,在低海况下,分析多种姿态目标的时空相关性以及时域、频域、时频域上的统计特征,并定义差异系数对统计特征进行差异性分析。经大量实测数据验证表明,在低海况下,目标与海杂波的时空相关性、统计特征差异较大,具有较强的可分性;不同姿态目标之间同一种统计特征差异系数均在0~0.1之间,具有较小差异性,并无可分性。这些结论对于海上目标特性数据采集试验以及目标识别方法优化设计具有重要意义。
关键词:  海上目标特性  特征提取  时空相关性  雷达试验
DOI:DOI:10.3969/j.issn.1672-2337.2024.02.002
分类号:TN951;TN957.51
基金项目:国家自然科学基金资助项目(No.62101583,61871392);泰山学者工程专项经费(No.tsqn202211246)
Characterization of Multi⁃Attitude Maritime Targets in Low Sea State
TIAN Kaixiang, LI Baozhu, WANG Zhongxun, LIU Ningbo
1. Yantai University, Yantai 264005, China;2. Naval Equipment Department, Beijing 100171, China;3. Naval Aviation University, Yantai 264001, China
Abstract:
There are many kinds of maritime targets, the monolithic structure is complex, and the dynamic range of target characteristics is large, with strong time?varying nature. Starting from the target characteristics, characterizing the physical difference between the sea surface and the target is an effective way to solve the problem of maritime target detection. Under this background, an X?band radar is used to carry out multi?attitude maritime target data acquisition experiment. The spatio?temporal correlation of multi?attitude targets and the statistical characteristics are analysed in time domain, frequency domain and time?frequency domain under low sea state. The difference coefficient is defined to analyze the statistical characteristics of the difference. The validation of a large number of measured data shows that the spatio?temporal correlation and statistical features of the target and sea clutter have a large difference under low sea state, which is strongly separable; the difference coefficient of the same statistical feature between different attitude targets is between 0 and 0.1, which has a small difference and is not separable. These conclusions are of great significance for the maritime target characteristic data acquisition experiment and the optimized design of target recognition method.
Key words:  characteristics of maritime targets  feature extraction  spatio⁃temporal correlation  radar experiment

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