Author(s)

Jingyang Gao

Corresponding Author

Jingyang Gao

Abstract

The modulation recognition algorithm of digital communication signals based on decision theory is to extract characteristic parameters of the signal to be identified, manually preset a decision threshold, and compare the characteristic parameters with the decision threshold to identify the modulation mode of the signal. The instantaneous parameters of the signal are extracted, and the extracted results are converted into characteristic parameters. This process mainly uses the zero center normalization algorithm. Simulate the real work scene, and select the decision threshold after a large number of simulation experiments. The decision threshold is used to compare the characteristic parameters of the signal to be identified, and then the identification result is obtained. In the simulation experiment of the algorithm using MATLAB, the algorithm can effectively complete the signal recognition work. The algorithm used in this article obtains more and more comprehensive characteristic parameters for identification and comparison from the three parameters of amplitude, phase, and frequency. The recognition rate of the algorithm is improved to a certain extent, while retaining the real-time characteristic of the decision theory algorithm.

Keywords

Communication signal modulation, Recognition technology, Simulation study