数字移动通信中的无线信道“指纹”特征提取  

Extraction for “fingerprint” feature of wireless channel in digital mobile communication

作　　者：吴珊[1] 李英祥[1] 

机构地区：[1]成都信息工程大学通信工程学院,成都610225

出　　处：《计算机应用研究》2017年第5期1496-1499,共4页Application Research of Computers

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。In view of the issues that are multipath effects and time-varying of the wireless channel in the digital mobile communication. To extract the'fingerprint'of the wireless channel,this paper analyzed the characteristics of digital mobile communication channel,used the calculation method and the nature of convolution sum of discrete signal to expand unit impulse sequences into filter time-lapse sequences,used signal de-nosing principle that based on the wavelet packet threshold method to filter out the Gauss white noise of the received signal and used the matching pursuit algorithm to decompose de-noising signal in time domain. The dissertation focused on the multipath effects and time-varying of the wireless channel,put forward an idea of the extraction for the 'fingerprint'feature of the wireless channel in the digital mobile communication and implemented to extract'fingerprint'of the time-varying wireless channel. The idea is been proved correct and effective for extracting the 'fingerprint'of the wireless channel by the simulation.

关 键 词：时变信道 指纹提取 小波包去噪 匹配追踪算法 

分 类 号：TN919.72[电子电信—通信与信息系统]