现代电子技术2017，Vol.40Issue(13)：13-16,4.DOI:10.16652/j.issn.1004-373x.2017.13.004
无线信道指纹特征识别技术研究
Research on fingerprint feature recognition technology of wireless channel
摘要
Abstract
The wireless signal recognition plays a crucial role in the wireless signal transmission and monitoring. In order to reduce the effect of various interference sources and white noise on transmission signal,and improve the signal recognition accu-racy,a feature extraction technology based on principal component analysis(PCA)and wavelet transform method is analyzed, and a model to extract the characteristics of received signal with integral envelope method is proposed. The close degree among the envelopes of different signal samples is used to construct the concise and specific evaluation indexes,and verify its validity. The fuzzy mathematics identification function is used to calculate the close degree between the sample and regional division. The wireless signal is judged and identified according to the difference value of the close degree. The experimental results show that the algorithm has high recognition performance,high recognition rate,perfect robustness,and low computational complexity.关键词
积分包络/模糊数学/小波变换/贴近度Key words
integral envelope/fuzzy mathematics/wavelet transform/close degree分类
信息技术与安全科学引用本文复制引用
张雷,王军..无线信道指纹特征识别技术研究[J].现代电子技术,2017,40(13):13-16,4.基金项目
国家自然科学基金项目(11501065,A011501) （11501065,A011501）
重庆基础与前沿研究计划项目(cstc2015jcyjA00033)资助 （cstc2015jcyjA00033）
