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基于码元分布特性的FSK信号识别算法
引用本文:林祎,彭华,王彬,钟润添.基于码元分布特性的FSK信号识别算法[J].信息工程大学学报,2012,13(3):274-280.
作者姓名:林祎  彭华  王彬  钟润添
作者单位:1. 信息工程大学信息工程学院,河南郑州,450002
2. 92564部队,广东汕头,515064
基金项目:国家自然科学基金资助项目,河南省基础与前沿课题资助项目
摘    要:FSK信号在短波通信中大量应用,将其与PSK、QAM、并行多路传输信号区分开来具有重要的意义。而短波信号识别的关键是如何减小噪声与多径传输引起的频率选择性衰落的影响。提出一种基于码元分布特性的FSK信号大类识别算法,采用带通滤波后子载波信号的短时谱能量方差作为识别特征,具有优良的抗频率选择性衰落与噪声干扰性能。仿真实验与实际信号测试结果表明,算法具有较高的识别正确率,能直接对中频信号进行处理,可用于实际工程。

关 键 词:FSK  短波  频率选择性  短时谱  方差

FSK Signal Recognition Algorithm Based on Symbols Distribution Characteristics
LIN Yi,PENG Hu,WANG Bin,ZHONG Run-tian.FSK Signal Recognition Algorithm Based on Symbols Distribution Characteristics[J].Journal of Information Engineering University,2012,13(3):274-280.
Authors:LIN Yi  PENG Hu  WANG Bin  ZHONG Run-tian
Affiliation:1. Institute of Information Engineering, Information Engineering University, Zhengzhou 450002, China; 2. Unit 92564 , Shantou 515064 ,China)
Abstract:The Frequency Shift Keying(FSK) signal is widely used in short-wave communication, and separating the FSK signal from the Phase Shift Keying(PSK) signal, the Quadrature Amplitude Modulation (QAM) signal and the parallel transmission signal is essential. The key of HF( High Frequency) signal recognition is to reduce negative influence caused by noise and frequency selective fading resulted from multipath transmission. The proposed FSK signal recognition algorithm is based on the distribution characteristics of FSK signal symbols, with the variance of short-time spectrum power as the determinant. Simulation experiments and the real-world test results indicate that this algorithm performs well in intermediate frequency signal processing and can be applied in actual engineering.
Keywords:Frequency Shift Keying  short wave  frequency selectivity  short-time spectrum  vari-ance
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