A Survey on Traditional and Advanced Spectrum Sensing Techniques in Cognitive Radio Networks

被引：0

作者：

Gafoor, Rishbiya Abdul ^{[1
]}

Kuriakose, Riya ^{[1
]}

Sibila, M. ^{[1
]}

Lakshmi, C. K. ^{[1
]}

Reshmi, S. ^{[1
]}

Kumar, Ashok S. ^{[1
]}

机构：

[1] NSS Coll Engn, Dept Elect & Commun, Palakkad, Kerala, India

来源：

2018 INTERNATIONAL CONFERENCE ON CONTROL, POWER, COMMUNICATION AND COMPUTING TECHNOLOGIES (ICCPCCT) | 2018年

关键词：

Cognitive radio; spectrum sensing; matched filter detection; cyclostationary feature detection; energy detection; cooperative sensing; compressive sensing; eigen value detection; wavelet transform;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In conventional system, available spectrum is used inefficiently. Due to the limited available spectrum and inefficient utilization of spectrum, a new communication paradigm called CognitiveRadio(CR)havebeenintroducedtoexploittheexisting wireless spectrum opportunistically. The objective of CR is to use the available spectrum efficiently without any interference to the Primary Users (PUs). Spectrum sensing plays an essential part in CR networks inorder to obtain spectrum awareness. Energy detection, matched filter detection,cyclostationary detection are the most commonly used techniques for spectrum sensing. In this paper, a survey of traditional spectrum sensing methods alongwithseveraldiversityenhancingtechniqueslikecooperative spectrum sensing, compressive sensing, and wavelet transform sensing are included.

引用

页码：65 / 72

页数：8

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