A Signal Recognition Method Based on Spectrum Sensing

Abstract

The invention discloses a signal recognition method based on spectrum sensing. Aiming at the signal characteristics of the signal to be detected in the wavelet domain, according to the different signal characteristics of the wavelet transform of different signals, a nonlinear threshold classifier based on wavelet transform is established. By treating Carry out blind estimation of modulation parameters, automatic identification of modulation modes, research and testing of blind demodulation algorithms for detection signals, realize the detection and classification of typical signals of space targets, and automatically identify MPSK / OQPSK / MQAM modulation modes of intercepted certain digital communication signals , verifying the effectiveness of the algorithm and the feasibility of the system. The present invention can intercept or discover space communication signals in time, and perceive the position of the transmitting antenna of the signal to be detected, as well as parameters such as communication system, communication frequency, power, modulation mode, etc., And determine the signal characteristics according to other known prior information.

Description

technical field [0001] The invention belongs to the technical field of signal detection, and in particular relates to a signal identification method based on spectrum sensing. Background technique [0002] Spectrum sensing technology is the main technical means to obtain the characteristics of space radio signals. This method analyzes the application model of spectrum sensing technology in space satellite network. The main content is to use the general radio signal receiver to , based on the idea of ​​software radio, using digital signal processing methods, through the research of key technologies such as spectrum monitoring, signal search, parameter estimation, automatic modulation mode identification, and blind reception of received radio signals, the characteristics and information content of radio signals are obtained. [0003] Analyze several spectrum detection techniques that are commonly used at present, and perform spectrum detection without knowing the prior informa...

AI Technical Summary

Problems solved by technology

Aiming at the problems of low detection performance of energy detection in the case of low signal-to-noise ratio; high-order statistics detection, cyclostationary feature detection algorithm has a large amount of calculation, and the calculation cycle is long, etc., an adaptive threshold judgment technology based on wavelet domain feature spectrum is proposed. Effectively solve the problem of low signal-to-noise ratio and low sampling rate, and effectively complete functions such as spectrum monitoring, parameter estimation, and automatic modulation mode identification

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