Advanced Multiresolution Wavelet Based Wideband Spectrum Sensing Technique for Cognitive Radio

被引：3

作者：

Singh, Jai Sukh Paul ^{[1
]}

Rai, Mritunjay Kumar ^{[1
]}

Kumar, Gulshan ^{[2
]}

Singh, Rajwinder ^{[3
]}

Kim, Hye-Jin ^{[4
]}

Kim, Tai-hoon ^{[5
]}

机构：

[1] Lovely Profess Univ, Dept Elect & Commun Engn, Phagwara, Punjab, India

[2] Lovely Profess Univ, Dept Comp Sci & Engn, Phagwara, Punjab, India

[3] Beant Coll Engn & Technol, Dept Elect & Commun Engn, Gurdaspur, India

[4] Sungshin W Univ, Business Adm Res Inst, 2 Bomun Ro 34da Gil, Seoul, South Korea

[5] Sungshin W Univ, Dept Convergence Secur Engn, Seoul, South Korea

来源：

WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2018年

关键词：

TRANSFORM;

D O I：

10.1155/2018/1908536

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An advance multiresolution wavelet based approach for wideband spectrum sensing for cognitive radio system is proposed in this paper. Prime focus is made on the coarse detection part for interweaved system, in which unoccupied spectrum can be used efficiently by the cognitive users. Quick and immediate shifting over the sensed vacant channel is extremely vital and is a challenging task. To overcome this issue, fast and efficient spectrum sensing technique is proposed for cognitive radios by improvising the Discrete Wavelet Packet Transform (DWPT) for multire solution interweaved systems. This proposed scheme not only increases the system speed but also reduces complexity. Simulation results are used to analyse the system performance and numerical analysis for computing system complexity.

引用

页数：13

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