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Compressed Sensing-Based NBI Mitigation in Ultra-WideBand Energy Detector

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Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 404))

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Abstract

Recently, ultra-wideband (UWB) energy detectors are developed enormously with compressed sensing (CS) theory in multipath fading environment. As wideband communication is sensitive to narrowband interference (NBI), it is necessary for efficient UWB energy detector to mitigate NBI-affected measurements without harming samples containing important information. According to the traditional sampling theorem, UWB requires huge bandwidth for short range communication with little utilization. To avoid this wastage of frequency band, CS process uses sub-Nyquist rate and provides compressed version of received signal. In this paper, reconstruction-based energy detector which is robust to NBI is presented. To mitigate the NBI-affected measurements, notch out method is employed at the detector in this article. Energy detection of the UWB detector before adding NBI and after mitigating NBI is compared. Experimental results show that the presented energy detector is robust to NBI due to superior performance of the notch out method.

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Authors and Affiliations

  1. Department of Electronics & Telecommunication, Pillai HOC College of Engineering & Technology, Raigad, 410206, Maharashtra, India

    Priyanka G. Patil & Gajanan K. Birajdar

Authors
  1. Priyanka G. Patil
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  2. Gajanan K. Birajdar
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Correspondence to Priyanka G. Patil .

Editor information

Editors and Affiliations

  1. Machine Intelligence Unit, ISI, Kolkata, West Bengal, India

    Swagatam Das

  2. Computer Science and Engineering, National Institute of Technology, Durgapur, West Bengal, India

    Tandra Pal

  3. National Institute of Technology, Durgapur, West Bengal, India

    Samarjit Kar

  4. Deparment of CSE, Anil Neerukonda Ins. of Tech. & Sci., Vishakapatnam, India

    Suresh Chandra Satapathy

  5. Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

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Patil, P.G., Birajdar, G.K. (2016). Compressed Sensing-Based NBI Mitigation in Ultra-WideBand Energy Detector. In: Das, S., Pal, T., Kar, S., Satapathy, S., Mandal, J. (eds) Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015. Advances in Intelligent Systems and Computing, vol 404. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2695-6_11

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  • DOI: https://doi.org/10.1007/978-81-322-2695-6_11

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2693-2

  • Online ISBN: 978-81-322-2695-6

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