文章基本信息

标题：A Robust Detector Using SNR with Adaptive Threshold Scheme in Cognitive Radio Networks
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作者：ASHISH BAGWARI ; JYOTSHANA KANTI ; GEETAM SINGH TOMAR 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：5
页码：173-186
DOI：10.14257/ijsip.2016.9.5.15
出版社：SERSC
摘要：Spectrum sensing is a key functionalities of Cognitive radio networks (CRN). There are several methods to improve sensing techniques. In this paper, we present a robust detector using signal to noise ratio (SNR) with adaptive threshold (ADT) scheme in Cognitive Radio Networks (CRN). This technique has two detectors, energy detector (ED)&EDwithADT detector, out of these two detectors only one will perform sensing operation at a time. Selection of detector depends on condition between estimated SNR value (S e ) and threshold (γ). Numerical results show that proposed ESNR_ADT scheme optimizes detection performance and outperforms the cyclostationary based sensing method and adaptive spectrum sensing (SS) by 30.5 % and 30 % at – 10 dB signal to noise ratio (SNR) respectively. It is also shown that the proposed scheme yields lesser sensing time than cyclostationary detection and adaptive SS scheme in the order of 5.2 ms and 1.0 ms at - 20 dB SNR respectively.
关键词：Cognitive Radio Networks; Estimated signal to noise ratio; Energy detector; ; Spectrum sensing; Adaptive threshold