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作 者:刘耕昕[1] 胡曼青[1] 张燕[1] 潘艳艳 LIU Geng-xin;HU Man-qing;ZHANG Yan;PAN Yan-yan(Chengdu College of University of Electronic Science and Technology of China,Chengdu Sichuan 610000,China)
出 处:《计算机仿真》2021年第6期129-132,共4页Computer Simulation
摘 要:由于现有方法未对瞬时特征分析,导致射频信号识别误码率较高,提出的无线mesh网络多信道射频信号智能识别方法,通过无线mesh网络的拓扑图构造,分析网络不确定变量,将信号分配至多信道内,估计射频信号载波频率,并把该信号正交下变频至基带,获得IQ正交复包络的信号,实现瞬时特征分析,同时利用信号段瞬时频率、瞬时相位以及瞬时幅度分类射频信号类型,求出各信号段的每个特征值,计算完的总信号帧生成各自特征序列,作为神经网络特征矢量提取信号特征,再将射频信号数据映射至复数域当做信号调制的一部分,由于信号的发送者和接收者间时钟的晶振会有微小差别,凭借接收者评估并补偿两种间频率偏差值,即完成射频信号的智能识别。仿真结果证明:所提方法识别精度高,识别误码率较低,能够有效提升工业自动化管理效果。The neglect of instantaneous feature analysis in traditional methods leads to a high bit error rate of RFID. In this regard, an intelligent identification method of multi-channel RF signal in wireless mesh network was presented in this work. According to the construction of wireless mesh network topology, the network uncertainty variables were analyzed, meanwhile, the signals were allocated to multiple channels. The carrier frequency of the radio frequency signal was converted to the baseband to obtain the IQ orthogonal complex envelope signal, achieving the instantaneous characteristic analysis. Meanwhile, signal segments were classified according to instantaneous frequency, phase, and amplitude to obtain the eigenvalues of each signal segment. The calculated total signal frames were generated into their own feature sequences, being used as neural network feature vectors to extract signal features. Then, the RF signal data were mapped to the complex domain as part of the signal modulation. The receiver evaluates and compensates for the frequency deviation between the sender and the receiver to complete the intelligent identification of the RF signal. The simulation results show that the high recognition accuracy and the low recognition error rate of the method in this work effectively improve the effect of industrial automation management.
关 键 词:多信道射频信号 信号智能识别 瞬时特征分析 特征提取
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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