无线网络通信噪声信号精准过滤仿真研究  

Simulation Research on Precise Filtering of Wireless Network Communication Noise Signal

作　　者：武丽[1] 胡代弟[1] WU Li, HU Dai-di(Sias International University, Zhengzhou University, Xinzheng Henan 451150, Chin)

机构地区：[1]郑州大学西亚斯国际学院,河南郑州451150

出　　处：《计算机仿真》2018年第5期266-269,345,共5页Computer Simulation

摘　　要：对无线网络通信噪声信号的过滤,能够有效提高网络通信质量。对通信噪声信号的精准过滤,需要获取所得信号噪声值序列,进而构造噪声信号特征向量,完成噪声信号的准确过滤。传统方法对不用类别的噪声信号特性定义矩阵,描述信号噪声值的确定方式,但忽略了信号特征向量的构造,导致过滤精度偏低。提出了近邻噪声值增量的概念对通信噪声信号进行精准过滤。依据噪声信号和噪声近邻噪声值增量的不同区分信号与噪声。采用所得信号噪声值序列构造通信噪声信号特征向量,以实现通信噪声信号精准过滤。实验结果表明,所提方法相比常规过滤方法,具有最好的过滤能力,对于微弱信号过滤优势明显。Filtering the noise signal of wireless network communication can effectively improve the quality of network communication. The traditional method ignores the structure of eigenvector of signal, which leads to the low filtering accuracy. The concept of neighbour noise value increment is proposed to filter the communication noise signal precisely. According to the difference between noise signal and increment of adjacent noise value, signal and noise are distinguished. The sequence of signal noise value is used to structure the eigenveetor of communication noise signal, thus realize the accurate filtering of communication noise signal. Simulation resuhs verify that the proposed method has better filtering ability compared with the conventional filtering method, which has obvious advantages for filtering weak signal.

关 键 词：无线网络 通信噪声信号 过滤 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]