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| Cooperative Wideband Spectrum Sensing Algorithm Based on Compressed Sensing Channel Energy Measurements |
| Gu Bin Yang Zhen Hu Hai-feng |
| Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China |
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Abstract 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.
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Received: 20 April 2011
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Corresponding Authors:
Gu Bin
E-mail: d0821@njupt.edu.cn
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2012, Vol. 34 
