Collaborative Wideband Spectrum Sensing for Cognitive Radio using Wavelet-based Detection

被引：0

作者：

Al Hussien, Nedaa ^{[1
]}

Abdel-Hafez, Mohammed ^{[1
]}

Shuaib, Khaled ^{[2
]}

机构：

[1] United Arab Emirates Univ, Coll Engn, Dept Elect Engn, POB 15551, Al Ain, U Arab Emirates

[2] United Arab Emirates Univ, Coll Informat Technol, POB 15551, Al Ain, U Arab Emirates

来源：

2018 5TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT) | 2018年

关键词：

cognitive radio; narrowband spectrum sensing; wideband spectrum sensing; wavelet-based detection; hard-decision combining;

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：

Spectrum sensing in cognitive radio is a crucial task for detecting spectrum opportunities. Due to the intense demand for the frequency spectrum, average spectrum occupancy has increased, resulting in high spectrum scarcity. Under these circumstances, spectrum sensing needs to be performed on larger portions of the frequency spectrum, up to several GHz, to better explore spectrum opportunities. This leads to wideband spectrum sensing. In this paper, wideband spectrum sensing using wavelet-based detection is investigated, and a system model using collaborative wavelet-based detection is proposed. The performance of this edge detection model is investigated using three fusion rules: OR, AND and Majority.

引用

页码：492 / 497

页数：6

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