Modulation recognition method for satellite communication signals based on high-order cumulants and spectral features

Abstract

The invention discloses a satellite communication signal modulation identification method based on high-order cumulants and spectrum characteristics. The method includes the following steps of carrying out signal band-pass filtering, estimating carrier frequency, estimating the symbol rate, obtaining high-order cumulant parameters, identifying APSK or 16QAM signals, obtaining the number of spectral peaks of a quadratic spectrum, identifying BPSK or MSK signals, obtaining a quadruplicate spectrum, obtaining the number of spectral peaks of the quadruplicate spectrum, identifying pi / 4DQPSK signals, obtaining the number of spectral peaks of the quadratic spectrum of a base band, and identifying 6PSK, 8PSK, OQPSK, QPSK signals. According to the satellite communication signal modulation identification method, total blindness identification of a satellite communication signal modulation mode can be achieved, and the method is simple, easy to carry out and high in accuracy.

Description

technical field [0001] The invention belongs to the technical field of satellite communication and digital signal processing, in particular to a satellite communication signal modulation identification method based on high-order cumulants and spectrum features. Background technique [0002] Commonly used satellite communication signals include BPSK (Binary Phase Shift Keying), QPSK (Quadrature Phase Shift Keying), OQPSK (Offset QPSK offset quaternary phase shift keying), π / 4DQPSK (π / 4Difference Quadrature Phase Shift Keyingπ / 4 differential quaternary phase shift keying), 6PSK (6Phase Shift Keying six phase phase shift keying), 8PSK (8Phase Shift Keying octal phase shift keying), MSK (Minimum Shift Keying minimum frequency shift keying), 16QAM (16QuadratureAmplitude Modulation16 quadrature amplitude modulation), APSK (Amplitude Phase Shift Keying amplitude phase shift keying) signals. In the case of non-cooperative communication, effectively monitoring and identifying commu...

AI Technical Summary

Problems solved by technology

[0004] For the special communication scenario of satellite communication, these methods also have some shortcomings: 1. The extraction of the characteristic parameters used often requires more prior knowledge, and it is difficult to achieve full-blind modulation recognition; 2. No consideration of raised cosine shaping for signal classification Influenced by characteristics, satellite communication signals are generally shaped by raised cosine, which reduces the recognition rate of the algorithm or even fails; 3. There are few types of recognition, and the scope of application of the algorithm is limited, and no recognition system for satellite communication signals has been formed.

4. The algorithm is complex, and it is difficult to achieve real-time modulation identification

Images