Cooperative wideband spectrum sensing algorithm based on compressed sensing channel energy measurements

被引：0

作者：

Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Nanjing 210003, China ^{[1
]}

机构：

[1] Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education

来源：

Gu, B. (d0821@njupt.edu.cn) | 1600年 / Science Press卷 / 34期

关键词：

Cognitive Radio (CR); Compressed sensing; Energy detection; Wideband spectrum sensing;

D O I：

10.3724/SP.J.1146.2011.00393

中图分类号：

学科分类号：

摘要：

Compressed sensing offers a new wideband spectrum sensing scheme in cognitive radio. This paper presents a cooperative sensing scheme based on compressed sensing to sense channel energies without reconstructing the wideband spectrum. Multiple secondary users employ a number of wideband random filters to achieve channel energy measurements. A centralized fusion center is used to collect simultaneously the measurements where a novel cooperative recovery algorithm named Simultaneous Sparsity Adaptive Matching Pursuit (SSAMP) is utilized to reconstruct all the channel energies. Simulations show that the cooperative scheme only needs 20% of the required number of filters in additive white Gaussian noise channel and needs 40% in Raleigh fading channel. SSAMP algorithm outperforms the Simultaneous Orthogonal Matching Pursuit (SOMP) on both reconstruction quality and algorithm complexity.

引用

页码：14 / 19

页数：5

共 13 条

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