一种新的基于粗糙集理论的雷达目标识别方法

祝锋; 张智军; 刘传武; 汪军

doi:10.15892/j.cnki.djzdxb.2010.03.057

弹箭与制导学报 >

2010 , Vol. 30 >Issue 3: 145 - 147,154

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2010.03.057

摘要

针对雷达目标高分辨距离像维数高的问题,提出基于粗糙集理论的属性约简算法。设计了基于Re-liefF算法的属性重要性函数,采用启发式搜索,进行属性约简。实验结果表明文中提出的属性约简算法较其他方法能够提高识别效果,显著缩短约简时间。

关键词： 粗糙集; 高分辨距离像; 属性约简; 启发式搜索

本文引用格式

祝锋 , 张智军 , 刘传武 , 汪军 . 一种新的基于粗糙集理论的雷达目标识别方法[J]. 弹箭与制导学报, 2010 , 30(3) : 145 -147,154 . DOI: 10.15892/j.cnki.djzdxb.2010.03.057

Abstract

Focused on the problem of the dimension of the radar high resolution range profile(HRRP) is always high, an attribution reduction algorithm based on rough set theory was proposed the function of attribution importance based on ReliefF algorithm was designed and used for attribution reduction by heuristic search. The experimental results demonstrate the recognition performance is improved and the reduction time is shortened by the algorithm.

Key words： rough set; high resolution range profile; attribution reduction; heuristic search

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