Abstract
Dynamic variations in noise level and degradation of detection performance at low SNR are the main obstacles in sensing a wideband spectrum. The techniques based on energy detection estimate the energy of the sensed signal and compare it with a fixed predefined threshold. Such a general approach lacks adequate reliability and may cause inaccurate detection in sensing a wideband spectrum. This paper proposes an ‘Enhanced Wideband Spectrum Sensing Algorithm using Gradient and Double Threshold’ that aims at improving the detection performance in circumstances fraught with variations in noise level as well as low SNR. First, wideband sensing of GSM band is performed to determine spectrum occupancy and vacancy, by using the first algorithm. The same band is then scanned using the second algorithm. Experimental results obtained from the hardware platform are in favor of the second algorithm and prove that this proposed algorithm delivers improved detection performance in the presence of variations in noise level and low SNR.
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The main contribution of this paper is the development of an Enhanced Wideband Spectrum Sensing algorithm using gradient and double threshold technique. The proposed algorithm is implemented on NI Universal Software Radio peripheral (USRP 2920), an SDR based hardware platform under the varying noise level conditions. The primary focus of this work is to do spectrum analysis of GSM band for measuring the spectrum occupancy and comparison of the proposed algorithm with the conventional technique.
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Borde, S.D., Joshi, K.R. Enhanced Wideband Spectrum Sensing Algorithm for Analysis of GSM Band. Wireless Pers Commun 121, 2145–2158 (2021). https://doi.org/10.1007/s11277-021-08814-4
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DOI: https://doi.org/10.1007/s11277-021-08814-4