Design and Implementation of Recognition System for Modulated Signals Based on Software Defined Radio
In wireless communication system,automatic identification of signal modulation mode is an important application scenario of software radio.Compared with the traditional neural network algorithm,this paper proposes a recognition method based on software radio platform using support vector machine,which can significantly improve the recognition efficiency of signal analog and digital modulation,and the average recognition accuracy is above 90%.When the signal-to-noise ratio of the received signal is 30 dB,the recognition accuracy of this method reaches 100%,which is an excellent method in the modulation signal self-recognition system.
modulated signal recognitionLabVIEWneural networkssupport vector machine
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