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An Improved Energy Detector for Spectrum Sensing in Cognitive Radio System with Adaptive Noise Cancellation and Adaptive Threshold

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Computational Advancement in Communication Circuits and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 335))

Abstract

Over the years the usage of wireless communication systems has increased rapidly leading to scarcity of bandwidth. Hence the concept of utilizing the existing system to its fullest has become very important. Cognitive radio is a technique based on this concept which identifies the unutilized white spaces in the spectrum, and are allotted to the secondary user in a non-interfering manner. The energy detection technique does not work at low SNR. In this paper we attempted to improve the efficiency by performing adaptive noise cancellation and adaptive threshold in the energy detector.

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References

  1. Federal Communications Commission, Notice of proposed rule making and order: facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies, ET Docket No 03-108, Feb 2005-73 (2005)

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  3. D. Cabric, S. Mishra, R. Brodersen, Implementation issues in spectrum sensing for cognitive radios, in Proceedings Asilomar Conference on Signals, Systems and Computers, vol. 1 (Pacific Grove, California, USA), 2004 pp. 772–776

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  4. P.R. Nair, A.P. Vinod, A.K. Krishna, An energy detector for cognitive radios in channels at low SNR using adaptive threshold, in 8th International Conference on Information, Communications and Signal Processing (ICICS) 2011, 13–16 Dec 2011 pp. 1, 5. doi: 10.1109/ICICS.2011.6173586

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Acknowledgments

We express our gratitude to Prof. R. Nandi and Prof. P. Venkateswaran of ETCE Dept. Jadavpur university for their guidance and support.

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Authors and Affiliations

  1. ECE Department, Narula Institute of Technology, Kolkata, India

    Aritra Das, Bhaswati Chatterjee & Sandhya Pattanayak

  2. ETCE Department, Jadavpur University, Kolkata, India

    Manisha Ojha

Authors
  1. Aritra Das
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  2. Bhaswati Chatterjee
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  3. Sandhya Pattanayak
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  4. Manisha Ojha
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Corresponding author

Correspondence to Aritra Das .

Editor information

Editors and Affiliations

  1. School of Electronics & Computer Science, University of Southampton, Southampton, United Kingdom

    Koushik Maharatna

  2. Design & Growth, Institute of Materials Research & Engg, Singapore, Singapore

    Goutam Kumar Dalapati

  3. Electronics and Telecommunication Engg, Jadavpur University, Kolkata, West Bengal, India

    P K Banerjee

  4. Electronics and Electrical Communication, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Amiya Kumar Mallick

  5. Centre for Millimeter Wave Semiconductor Devices and Systems, Defence Research and Development Org., Kolkata, West Bengal, India

    Moumita Mukherjee

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Das, A., Chatterjee, B., Pattanayak, S., Ojha, M. (2015). An Improved Energy Detector for Spectrum Sensing in Cognitive Radio System with Adaptive Noise Cancellation and Adaptive Threshold. In: Maharatna, K., Dalapati, G., Banerjee, P., Mallick, A., Mukherjee, M. (eds) Computational Advancement in Communication Circuits and Systems. Lecture Notes in Electrical Engineering, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2274-3_14

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  • DOI: https://doi.org/10.1007/978-81-322-2274-3_14

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2273-6

  • Online ISBN: 978-81-322-2274-3

  • eBook Packages: EngineeringEngineering (R0)

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