单信道电子通信信号循环频率特征自提取仿真  

Self-Extraction Simulation of Cyclic Frequency Characteristics of Single-Channel Electronic Communication Signals

作　　者：柴继贵 CHAI Ji-gui(School of Electronic Engineering,Chengdu Technological University,Chengdu Sichuan 611730,China)

机构地区：[1]成都工业学院电子工程学院

出　　处：《计算机仿真》2019年第9期181-184,229,共5页Computer Simulation

摘　　要：针对当前信号提取方法存在准确率和完整性差的问题,提出单信道电子通信信号循环频率特征自提取方法。提取单信道中重叠信号分量任意时刻瞬时频率与幅度,重构各信号分量,实现重叠信号分离。在分离得到的信号基础上,输入采样数据并开始进行循环频率检测,分别计算电子通信中的BPSK信号特征量、QPSK信号特征量、MSK信号特征量、OQPSK信号特征量,并判断计算结果是否为1,假设为1,则在循环频率集合中将已经提取过的此类信号循环频率去除,同时提取出相应数量的BPSK信号、QPSK信号、MSK信号和OQPSK信号,完成单信道电子通信信号自提取。实验结果表明,所提方法准确率和完整性较高,与当前方法相比,该方法可靠性更强。Current signal extraction methods have low accuracy rate and poor integrity.This paper proposes a feature self-extraction method of cycle frequency of electro-communication signals of single channel.Firstly,we extracted instantaneous frequency and amplitude of overlap signal component in single channel at any time and reconstructed component of each signal to achieve separation of the overlap signal.Then we input sample data and began test of cycle frequency based on the signal obtained by separating.we calculated signal characteristic quantity of BPSK,QPSK,MSK,and OQPSK respectively,and judged whether the calculation result was one.If the result was one,the research wiped out cycle frequency of this kind signal in set of cycle frequency.Meanwhile,we extracted corresponding quantity of signal of BPSK,QPSK,MSK,and OQPSK.Thus,we completed the self-extraction.Simulation results show that the method has high accuracy and integrity.Reliability of the method is stronger than current methods.

关 键 词：单信道 通信信号 循环频率 特征提取 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]