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基于注水原理的雷达目标多分类器集成算法

陈志仁 顾红

南京理工大学学报(自然科学版)2018,Vol.42Issue(3):380-384,5.
南京理工大学学报(自然科学版)2018,Vol.42Issue(3):380-384,5.DOI:10.14177/j.cnki.32-1397n.2018.42.03.019

基于注水原理的雷达目标多分类器集成算法

Radar target multi-classifier integration algorithm based on water-filling theory

陈志仁 1顾红1

作者信息

  • 1. 南京理工大学 电子工程与光电技术学院,江苏 南京210094
  • 折叠

摘要

Abstract

Different classifiers are integrated to overcome the performance limitation of a single classifier and obtain higher performance of radar target classification. According to different target features and different classification performances of each classifier obtained by training samples, a fusion coefficient matrix of different classifiers integration is calculated based on the water-filling theory. A decision threshold is set for the output coefficient matrix. Experimental results of measured radar data show that the average recognition rate of the proposed method is 87.68%.

关键词

注水原理/雷达目标/多分类器/融合系数矩阵

Key words

water-filling theory/radar targets/multi-classifiers/fusion coefficient matrix

分类

信息技术与安全科学

引用本文复制引用

陈志仁,顾红..基于注水原理的雷达目标多分类器集成算法[J].南京理工大学学报(自然科学版),2018,42(3):380-384,5.

基金项目

国家自然科学基金(61471198 ()

61671246) ()

南京理工大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1005-9830

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