Abstract
This paper mainly studies the data characteristics of high order cumulants using digitally modulated signals, and constructs the identification feature parameters that can distinguish the signal modulation type by the high-order cumulants data of the digital modulation signal. Set the identification signal modulation type determination threshold based on the value of the identification feature parameter. The identification feature parameter value of the signal modulation type is compared with the set determination threshold, to realize the recognition of digital modulation signal. This identification method is implemented based on MATLAB design, with a 2ASK (2-ary Amplitude Shift Keying) signal, 4ASK (4-ary Amplitude Shift Keying) signal, 2PSK (2-ary Phase Shift Keying) signal, 4PSK (4-ary Phase Shift Keying) signal, 2FSK (2-ary Frequency Shift Keying) signal, 4FSK (4-ary Frequency Shift Keying) signal. The second, fourth and sixth order cumulants of the six signals were analyzed. Calculate the selected identification feature parameter value and the determination threshold to identify the six signals. The six signals have made MATLAB identification simulation. Simulation results show that this method is feasible and has high recognition rate. Simulation results verify that such recognition methods maintain a high recognition rate under conditions with low signal-to-noise ratio. This identification method can be extended to more MASK (M-ary Amplitude Shift Keying), MPSK (M-ary Phase Shift Keying), MFSK (M-ary Frequency Shift Keying), MQAM (M-ary Quadrature Amplitude Modulation) signal identification.
Highlights
Today, with the rapid development of modern digital communication technology, modulation recognition of digital signals is a key technology in communication
This paper mainly studies the data characteristics of high order cumulants using digitally modulated signals, and constructs the identification feature parameters that can distinguish the signal modulation type by the high-order cumulants data of the digital modulation signal
The defect of digital signal recognition based on high-order cumulant is that it has a large amount of computation
Summary
With the rapid development of modern digital communication technology, modulation recognition of digital signals is a key technology in communication. Modulation recognition technology has great application value in civil field, in order to ensure the normal communication of the legal user. It is necessary for the management department to identify and control the transmission signal. Based on the characteristic parameters of higher-order cumulants, this paper completes the modulation recognition of digital signals, and uses MATLAB to establish the software recognition simulation system of this recognition method. The pattern recognition of digital signal modulation is realized by programming in this simulation platform, which can be applied to the research and product development of signal modulation recognition technology in software radio system. This reduces the development cost and shortens the development time, which provides the reference for the future communication system product technology research and development
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