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Performance Analysis of Automatic Modulation Classification Method for Different Modulation Techniques Using CNN Algorithm

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Intelligent Systems and Sustainable Computing (ICISSC 2022)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 363))

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Abstract

Automatic Modulation Classification is a technique for determining the modulation of a receiving signal. IoT devices receive signals from numerous resources using modern methods such as multiple input multiple output (MIMO). Modulation recognition is therefore essential. This chapter develops a Convolutional Neural Networks-based model for automatic modulation classification. The classification accuracies of the proposed scheme for 11 modulation schemes are evaluated. The effect of Signal to Noise Ration on classification accuracy is also studied.

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Author information

Authors and Affiliations

  1. Samsung R&D Institute India—Bangalore Private Ltd, Bangalore, India

    Potta Satwik

  2. Ericsson India Global Services Pvt. Ltd. Kolkata Office, Newtown, India

    Pratik Das

  3. JIS College of Engineering, Kalyani, India

    Ashim Kumar Biswas

  4. National Institute of Technology Silchar, Silchar, India

    Arnab Nandi

Authors
  1. Potta Satwik
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  2. Pratik Das
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  3. Ashim Kumar Biswas
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  4. Arnab Nandi
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Corresponding author

Correspondence to Arnab Nandi .

Editor information

Editors and Affiliations

  1. Malla Reddy University, Hyderabad, India

    V. Sivakumar Reddy

  2. Department of CSE, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad, India

    V. Kamakshi Prasad

  3. Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ, USA

    Jiacun Wang

  4. Computer Science and Information Technology, Federation University, Mawson Lakes, SA, Australia

    Naga Mallikarjuna Rao Dasari

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Satwik, P., Das, P., Biswas, A.K., Nandi, A. (2023). Performance Analysis of Automatic Modulation Classification Method for Different Modulation Techniques Using CNN Algorithm. In: Reddy, V.S., Prasad, V.K., Wang, J., Rao Dasari, N.M. (eds) Intelligent Systems and Sustainable Computing. ICISSC 2022. Smart Innovation, Systems and Technologies, vol 363. Springer, Singapore. https://doi.org/10.1007/978-981-99-4717-1_46

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