Abstract
Digital modulation signal is an important field of wireless communication. With the continuous development of wireless communication technology, the recognition technology of digital signal is also advancing. In this paper, the recognition technology of digital phase-modulation signal is studied, and the received MPSK signal is converted into an isopotential horoscope through data processing. Based on deep learning theory, three deep learning models such as ResNet, VGG16 and Mobilenet are selected to carry out feature extraction and recognition of the isopotential constellation of MPSK signal, and the accuracy of recognition is compared.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
