大掠射角下幅相极化特征融合雷达导引头舰船检测方法

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中图分类号：TN974 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.04.09

Abstract： The sea surface target signal at high grazing angle is often submerged in the strong sea clutter， which brings a severe challenge to the target detection of radar seeker.In order to improve the performance of radar detection of weak targets at high grazing angle，a target detection method of sea surface targets based on multi-feature fusion is proposed.Firstly，itis found that there are big diffrences between sea clutter and ship in four amplitude-phase polarization features，including the mean of unfolded phase diference，the mean and the difference of co-polarization ratio phase，and the ratio of average co-polarization amplitude，by analyzing the experimental data of radar seeker working at high grazing angle. Secondly，combined with the support vector machine（SVM） method，it is verified that the sea clutter and ship target with sea clutter are more separable in the four-dimensional feature space in comparison with the existing feature sets.Then the false alarm control is applied to the classfier，a sea surface targets detection method based on the fusion of amplitude and phase features is proposed.Finally，the experimental data are used to verify that the proposed method can effectively achieve the detection of sea surface targets at high grazing angle.

Keywords：target detection；sea clutter；high grazing angle；radar seeker

0 引言

在大掠射角观测条件下，雷达导引头对应的海面散射系数将急剧增加，雷达航船回波将淹没在强海杂波中[1-3]。（剩余13933字）