数字移动通信中的无线信道“指纹”特征提取

发布时间：2018-04-13 14:26

本文选题：时变信道 + 指纹提取　；参考：《计算机应用研究》2017年05期

【摘要】：针对数字移动通信中无线信道的多径效应和时变性问题,通过对数字移动通信信道特性的分析,运用离散信号卷积和的运算方法及性质,对通过滤波器后的单位脉冲序列拓展成滤波器延时序列,采用基于阈值的小波包去噪方法滤除接收信号中的高斯白噪声,采用匹配追踪(matching pursuit,MP)算法,对去噪后的信号在时域进行分解,提取出无线信道的"指纹"。着重论述了无线信道的多径效应及其时变性,提出了数字移动通信中无线信道"指纹"特征提取的思想方法,并实现了对无线时变信道"指纹"的提取。通过仿真证明了这一思想方法对无线信道"指纹"提取的正确性和有效性。
[Abstract]:Aiming at the multipath effect and time-varying problem of wireless channel in digital mobile communication, this paper analyzes the channel characteristics of digital mobile communication, and applies the computing method and properties of discrete signal convolution sum.The unit pulse sequence after the filter is extended to the filter delay sequence, and the threshold based wavelet packet denoising method is used to remove the Gao Si white noise from the received signal, and the matching tracking matching algorithm is used to reduce the white noise in the received signal.The de-noised signal is decomposed in time domain, and the fingerprint of wireless channel is extracted.This paper mainly discusses the multipath effect and its time variation of wireless channel, puts forward the idea of "fingerprint" feature extraction of wireless channel in digital mobile communication, and realizes the "fingerprint" extraction of wireless time-varying channel.Simulation results show that the proposed method is correct and effective for fingerprint extraction in wireless channels.
【作者单位】：成都信息工程大学通信工程学院;
【分类号】：TN929.5

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