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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 8

Issue Published : 85

Article Submitted : 7838

Article Published : 4010

Total Authors : 10466

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Paper Title: Received Signal Classification of Modulation Scheme at Receiver using CNN Algorithm
Authors Name: Chandan Sadamkar , Dr. Kiran V
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IJRTI_184480
Published Paper Id: IJRTI2210103
Published In: Volume 7 Issue 10, October-2022
DOI:
Abstract: Convolutional neural networks(CNNs) are the ways to determine the received signal without having any channel parameters and any prior proficiency of the incoming signal. A synthetic channel impairment waveform is generated. Using the generated waveform as training data and training the CNN for classifying the modulation. The CNN can also be tested with software-defined radio hardware and over-the-air signals and gives high accuracy than the traditional method. The proposed architecture performs six-layer convolution to the incoming signal and delivers around 95% of test accuracy with 30dB SNR, subjected to Racian multi-path fading, and also uses multiple modulation schemes for the classification at 30dB SNR.
Keywords: Signal generation, synthetic channel, CNN algorithm, classification, accuracy
Cite Article: "Received Signal Classification of Modulation Scheme at Receiver using CNN Algorithm", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 10, page no.760 - 764, October-2022, Available :http://www.ijrti.org/papers/IJRTI2210103.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2210103
Registration ID:184480
Published In: Volume 7 Issue 10, October-2022
DOI (Digital Object Identifier):
Page No: 760 - 764
Country: Bangalore, Karnataka, India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2210103
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2210103
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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