Automatic Recognition Of Communication Signals And Parameter Extraction

The auto identification of modulation style of communication signal is widely being used in many kinds of domain, such as signal surveillance & detection, interference recognization, radio interception, and electronic countermeasures.First in this paper, various kinds of communication signals are analysed on theories, based on which, aimed at analog and digital modulations, the choice of the verdict threshold is discussed using arithmetic for modulation style identification based on decision-theoretic, after that, the whole modulation process is studied by using MATLAB. When the SNR equals to lOdB, the probability of success in the modulation style identification is no less than 99%. The decision-theoretic on which our arithmetic is based has some advantages as computational advantage and good identification effect. In the end, theoretical analysis and computer simulation have been done about the instantaneous frequency detection aimed at analog and digital modulations, at the same time, the detection methods of the amplitude & frequency modulation coefficient for analog signals and the code speed for digital modulation signals are studied, and the feasibility of the methods is well verdicted by computer simulations.