Sequential spectrum sensing approach based on suprathreshold stochastic resonance in cognitive radio

2016 10th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI:10.1109/ISCO.2016.7727088

P. Sudharshini, M. Suganthi

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Abstract

The rapid growth in wireless communications has contributed to a huge demand on the deployment of new wireless services in both the licensed and unlicensed frequency spectrum. In fixed spectrum assignments there are many frequencies that are not being properly used. So Cognitive radio is a technology that supports a secondary and opportunistic access to licensed spectrum shows great potential to dramatically improve spectrum utilization. Spectrum sensing performed by secondary users to detect unoccupied spectrum bands is a key enabling technique for cognitive radio. However, the sensing time could be still unacceptably long due to the weak PU signal, particularly in non-Gaussian noise. The goal of this project is to improve the spectrum sensing efficiency, by means of sequential sensing scheme based on Suprathreshold Stochastic Resonance (SSR). The performance metrics such as false alarm rate, detection probability, average sample number (ASN) has been considered for analysis. The technique has been analyzed using MATLAB R2010a simulation tool.

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认知无线电中基于超阈值随机共振的序列频谱感知方法

无线通信的快速发展对在许可和非许可频谱上部署新的无线服务产生了巨大的需求。在固定频谱分配中，有许多频率没有得到适当的利用。因此，认知无线电是一种支持对许可频谱进行二次和机会访问的技术，它在显著提高频谱利用率方面显示出巨大的潜力。辅助用户通过频谱感知来检测未占用的频段是认知无线电的关键使能技术。然而，由于PU信号较弱，特别是在非高斯噪声中，传感时间仍然可能长得令人无法接受。本课题的目标是通过基于超阈值随机共振(SSR)的序列感知方案来提高频谱感知效率。考虑了虚警率、检测概率、平均样本数(ASN)等性能指标进行分析。利用MATLAB R2010a仿真工具对该技术进行了分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 10th International Conference on Intelligent Systems and Control (ISCO)

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