| 海杂波中基于混沌预测的目标检测方法改进 |
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| 引用本文： | 马晓岩,黄晓斌,张贤达.海杂波中基于混沌预测的目标检测方法改进[J].电子学报,2003,31(6):907-910. |
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| 作者姓名： | 马晓岩 黄晓斌 张贤达 |
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| 作者单位： | 1. 清华大学自动化系,北京 100084;2. 空军雷达学院信息工程系,湖北武汉 430019 |
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| 摘 要： | 基于记忆库非线性预测的NP-CFAR方法是目前混沌海杂波背景中目标检测的一种典型而先进的方法.考虑到海杂波功率与特征的时变不稳定性,本文提出运用旋转超盒分类取代这一方法中的NP-CFAR进行目标检测,并探讨了运用盒维数特征提取进行预处理以节省运算开销的问题.仿真实验验证了本文所提改进方法的有效性.
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| 关 键 词： | 混沌 旋转超盒分类 盒维数 检测 |
| 文章编号： | 0372-2112(2003)06-0907-04 |
| 收稿时间： | 2002-05-14 |
Modification of Chaotic Prediction-Based Target Detection Method in the Sea Clutter |
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| MA Xiao-yan ,HUANG Xiao-bin ,ZHANG Xian-da.Modification of Chaotic Prediction-Based Target Detection Method in the Sea Clutter[J].Acta Electronica Sinica,2003,31(6):907-910. |
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| Authors: | MA Xiao-yan HUANG Xiao-bin ZHANG Xian-da |
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| Affiliation: | 1. Department of Automation,Tsinghua University,Beijing 100084,China;2. Department of Information Engineering,Air Force Radar Academy,Wuhan,Hubei 430019,China |
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| Abstract: | The Memory-base nonlinear prediction-based NP-CFAR processing is a typical and advanced method for target detection in the chaotic sea clutter.In consideration of the time-varying instability of the power and character of the sea clutter,authors present a modified method with the rotation hyper-box classification for detection,and use the simpler box-dimension character extraction for preprocessing to reduce the computation load.The simulation experiments prove the efficiency of those modifications. |
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| Keywords: | chaotic rotation hyper-box classification (RHBC) box-dimension detection |
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