基于相似度的雷达目标识别灰关联分析算法

赵汝鹏; 田润澜; 张旭洲; 谢一彬

doi:10.11959/j.issn.1000−0801.2017102

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基于相似度的雷达目标识别灰关联分析算法

研究与开发 | 更新时间：2024-06-05

- 基于相似度的雷达目标识别灰关联分析算法
- Algorithm of grey correlation analysis for radar target recognition based on similarity
- 电信科学 2017年33卷第5期页码：82-89
- 作者机构：
  
  1. 空军航空大学对抗系，吉林长春 130022；
  2. 中国人民解放军94936 部队，浙江杭州 310021
- 作者简介：
  
  [ "赵汝鹏（1993−），男，空军航空大学硕士生，主要研究方向为电子侦察情报分析。" ]
  [ "田润澜（1973−），女，博士，空军航空大学副教授、硕士生导师，主要研究方向为航空电子侦察情报分析、雷达侦察极化信息处理。" ]
  [ "张旭洲（1982−），男，空军航空大学讲师，主要研究方向为航空电子侦察情报分析。" ]
  [ "谢一彬（1994−），男，中国人民解放军94936 部队助理工程师，主要研究方向为电子对抗作战支援和雷达信号分析处理。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000−0801.2017102
  中图分类号： TN971
- 网络出版日期：2017-05，
  
  纸质出版日期：2017-05-15
- 稿件说明：
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赵汝鹏, 田润澜, 张旭洲, 等. 基于相似度的雷达目标识别灰关联分析算法[J]. 电信科学, 2017,33(5):82-89.

Rupeng ZHAO, Runlan TIAN, Xuzhou ZHANG, et al. Algorithm of grey correlation analysis for radar target recognition based on similarity[J]. Telecommunications science, 2017, 33(5): 82-89.
赵汝鹏, 田润澜, 张旭洲, 等. 基于相似度的雷达目标识别灰关联分析算法[J]. 电信科学, 2017,33(5):82-89. DOI： 10.11959/j.issn.1000−0801.2017102.

Rupeng ZHAO, Runlan TIAN, Xuzhou ZHANG, et al. Algorithm of grey correlation analysis for radar target recognition based on similarity[J]. Telecommunications science, 2017, 33(5): 82-89. DOI： 10.11959/j.issn.1000−0801.2017102.

摘要

针对参数重叠的雷达目标识别算法准确率较低、对复杂体制雷达目标识别效果较差的问题，提出了基于相似度的灰关联分析算法，实现对复杂体制雷达目标的融合识别。该算法首先提取各参数间的相似度矩阵，然后运用灰关联分析得出相应的灰关联系数，同时根据各参数匹配程度确定其权重值，与灰关联系数组合获得待识别信号与库信号的灰关联度，根据灰关联度完成目标识别。仿真实验结果表明，该算法能很好地降低参数重叠给识别带来的影响，提高识别正确率，快速实现复杂体制雷达目标的识别。

Abstract

According to the algorithm can't better identify complex radar targets and improve the accuracy while facing parameters overlapping

an algorithm of similarity-grey relational analysis based on similarity was proposed.Firstly

the similarity matrix between the parameters was extracted by the algorithm.And then the grey correlation analysis was used to get the corresponding grey correlation coefficient.At the same time

the weight value was determined according to the matching degree of each parameter

the grey correlation degree of the signal was identified and the library signal was obtained by combining with the grey correlation coefficient

and the target recognition was completed according to the grey correlation degree.Finally

having the grey correlation between the signal and the grey correlation coefficient

which can realize the identification of the complex radar target.The simulation results show that the impact of parame-ters overlapping with high recognition accuracy was reduced

the recognition accuracy was improved

and the identifica-tion of complex system radar targets were quickly realized by the proposed algorithm.

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references

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