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Automatic Digital Modulation Recognition System Using Feature Extraction

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Emerging Trends in Electrical, Communications and Information Technologies

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 394))

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Abstract

Automatic modulation recognition is the vital part in the advanced communication system used for both military and civil applications. In this paper a new methodology is proposed for distinguishing five digital modulation schemes (ASK-2, ASK-4, FSK, BPSK and QPSK). The algorithm extracts the features from the received signal and they are tested against preset thresholds to determine the modulation type of received signal. The simulations are done using MATLAB 2013 and results show that the system has an average recognition rate of 99.6 % at SNR as low as 4 dB.

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Author information

Authors and Affiliations

  1. Department of ECE, MSRIT, Bangalore, India

    H. L. Punith Kumar & Lakshmi Shrinivasan

Authors
  1. H. L. Punith Kumar
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  2. Lakshmi Shrinivasan
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Corresponding author

Correspondence to H. L. Punith Kumar .

Editor information

Editors and Affiliations

  1. Mathematics and Computer Science, Chicago State University, Chicago, Illinois, USA

    Kapila Rohan Attele

  2. BioAxis DNA Research Centre (P) Hyderabad, IEEE India Council, Hyderabad, India

    Amit Kumar

  3. Department of Electrical Engineering, JNTU College of Engineering, Ananthapur, India

    V. Sankar

  4. Department of Computer Science, CVR College of Engineering, Hyderabad, India

    N. V. Rao

  5. Department of Computer Science and Engineering, Srinivasa Ramanujan Institute of Technology, Ananthapur, India

    T. Hitendra Sarma

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© 2017 Springer Science+Business Media Singapore

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Punith Kumar, H.L., Shrinivasan, L. (2017). Automatic Digital Modulation Recognition System Using Feature Extraction. In: Attele, K., Kumar, A., Sankar, V., Rao, N., Sarma, T. (eds) Emerging Trends in Electrical, Communications and Information Technologies. Lecture Notes in Electrical Engineering, vol 394. Springer, Singapore. https://doi.org/10.1007/978-981-10-1540-3_21

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  • DOI: https://doi.org/10.1007/978-981-10-1540-3_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1538-0

  • Online ISBN: 978-981-10-1540-3

  • eBook Packages: EngineeringEngineering (R0)

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