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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

雷达科学与技术2024,Vol.22Issue(2):126-134,9.
雷达科学与技术2024,Vol.22Issue(2):126-134,9.DOI:10.3969/j.issn.1672-2337.2024.02.002

低海况下多姿态海上目标特征分析

Characterization of Multi-Attitude Maritime Targets in Low Sea State

田凯祥 1李保珠 2王中训 1刘宁波3

作者信息

  • 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
  • 折叠

摘要

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 de-tection.Under this background,an X-band radar is used to carry out multi-attitude maritime target data acquisition ex-periment.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 ana-lyze the statistical characteristics of the difference.The validation of a large number of measured data shows that the spa-tio-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.

关键词

海上目标特性/特征提取/时空相关性/雷达试验

Key words

characteristics of maritime targets/feature extraction/spatio-temporal correlation/radar experiment

分类

信息技术与安全科学

引用本文复制引用

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):126-134,9.

基金项目

国家自然科学基金资助项目(No.62101583,61871392) (No.62101583,61871392)

泰山学者工程专项经费(No.tsqn202211246) (No.tsqn202211246)

雷达科学与技术

OA北大核心CSTPCD

1672-2337

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