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Paper Details
Paper Title
Deep Learning for Automatic Modulation Recognition
Authors
Sajana Shamsudeen, Shahana Habeeb Mohammed, Hari S
Abstract
A cognitive radio (CR) is a radio device capable of sensing, learning and adjusting to adapt to external wireless environment. There are many types of modulation technologies , and one of the most essential functions in CR is two automatically select these modulation modes according to external environment. Automatic modulation recognition (AMR) is an essential and challenging topic in the devolopment of the cognitive radio (CR) and it is a cornerstone of CR adaptive modulation and demodulation capabalities to sense and learn environments and make corresponding adjustments .Hence we proposed a new system to get more accuracy by different modulation techniques and also we get samples at short time period by increasing speed.
Keywords- Cognitive Radio, Automatic Modulation Recognition, Adaptive modulation, Adaptive demodulation, Accuracy
Publication Details
Unique Identification Number - IJEDR2102033Page Number(s) - 200-206Pubished in - Volume 9 | Issue 2 | June 2021DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Sajana Shamsudeen, Shahana Habeeb Mohammed, Hari S, "Deep Learning for Automatic Modulation Recognition", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 2, pp.200-206, June 2021, Available at :http://www.ijedr.org/papers/IJEDR2102033.pdf
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