Abstract
Over the past few decades, many automatic modulation classification (AMC) algorithms were discussed based on their ability to classify the modulation scheme. However, in practical scenarios, the AMC algorithm should have low complexity, high speed, and better resource utilization. The majority of the current modulation classification methods have inferior performance in low SNRs. In this paper, a cooperative AMC (CAMC) approach using soft decision fusion based on the combination of fourth and sixth order cumulants over additive white Gaussian noise channel and multipath fading channel is proposed. This proposed approach improves the classification accuracy of the modulation schemes at low SNR comparatively.
Sign-in/Register to access full text options 
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.
