成都大学学报：自然科学版2012，Vol.31Issue(2)：151-153,3.
ReliefF算法在雷达辐射源信号识别中的应用
Application of ReliefF Algorithm in Radar Emitter Signal Recognition
杨志新 1段美军2
作者信息
- 1. 西南交通大学信息科学与技术学院,四川成都610031
- 2. 西南交通大学电气工程学院,四川成都610031
- 折叠
摘要
Abstract
Features extracted by wavelet packet transform can effectively identify signals, however, feature dimension of the features is high and some characteristics are seriously polluted by the noise. Classification ability of the features was evaluated by ReliefF algorithm and features with strong classification ability in wavelet packets were picked out. Then redundant features of similar classification ability were deleted by characteristic similarity algorithm. The remaining features of strong classification ability composed eigenvectors and they would be classified. Simulation experimental results show that this method using fewer features can obtain higher right recognition rate.关键词
雷达辐射源信号/小波包变换/Relie印算法/雷达辐射源信号特征Key words
radar emitter signal/wavelet packet transform/ReliefF algorithm/features of radar emitter sig-nal分类
信息技术与安全科学引用本文复制引用
杨志新,段美军..ReliefF算法在雷达辐射源信号识别中的应用[J].成都大学学报：自然科学版,2012,31(2):151-153,3.
