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An Adaptive Covariance Matrix Based on Combined Fully Blind Self Adapted Method for Cognitive Radio Spectrum Sensing

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Abstract

The main aim of this paper is to analysis and simulate existing methods such as energy detection, Maximum–Minimum Eigen value detectors (MME), MME with blind two stage detector and compare with the proposed adaptive covariance threshold method. This comparison is being made keeping in mind the complexity and accurateness in the terms of the sensing receiver operating characteristics curve. The influence of signal bandwidth of signal in comparison to the bandwidth of observation is done for every detector. As of the MME detector, the ratio between the bandwidth of the signal and the bandwidth of the observation is observed to be 0.5 when the reasonable values are used. The performance of the adaptive covariance threshold with combined full blind self-adapted detector are simulated on Matlab. The proposed method of detector shows a superior performance values when compared to three individual detectors. The performance metrics of proposed method are performed better than other three individual detector.

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Authors and Affiliations

  1. Madhav Institute of Technology and Science, Gwalior, India

    Rakesh Singh Rajput & Rekha Gupta

  2. ABV Indian Institute of Information Technology and Management, Gwalior, India

    Aditya Trivedi

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  1. Rakesh Singh Rajput
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  2. Rekha Gupta
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  3. Aditya Trivedi
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Correspondence to Rakesh Singh Rajput.

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Rajput, R.S., Gupta, R. & Trivedi, A. An Adaptive Covariance Matrix Based on Combined Fully Blind Self Adapted Method for Cognitive Radio Spectrum Sensing. Wireless Pers Commun 114, 93–111 (2020). https://doi.org/10.1007/s11277-020-07352-9

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  • DOI: https://doi.org/10.1007/s11277-020-07352-9

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