Multi-angle Development Analysis for Automatic Modulation Classification Technology

Multi-angle Development Analysis for Automatic Modulation Classification Technology

연구 분야: Infrastructure

학회: EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering

Modulation recognition is an important part of signal perception and a key step towards intelligent perception. With the continuous development of communication technology, it has already entered the era of automatic modulation classification (AMC) from manual modulation recognition. Aiming at the signal modulation recognition technology, this article summarizes the value of modulation recognition technology in military applications and the development process of the technology. According to the modulation recognition method, It is mainly divided into the recognition method based on the likelihood function and the recognition method based on feature extraction, and the two categories are divided in detail. Explains how deep learning is applied to modulation recognition technology and what advantages it has. The recognition rate of various methods under different signal-to-noise ratio(SNR) conditions, as well as the advantages and disadvantages of various methods are summarized. The new challenges that may be encountered for modulation recognition technology are analyzed, and the future development of the modulation recognition is prospected.