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J Electromagn Eng Sci > Volume 11(4); 2011 > Article
Journal of the Korean Institute of Electromagnetic and Science 2011;11(4):250-256.
DOI: https://doi.org/10.5515/JKIEES.2011.11.4.250   
Using Subspace Pursuit Algorithm to Improve Performance of the Distributed Compressive Wide-Band Spectrum Sensing
Thanh Tan Le, Hyung-Yun Kong
School of Electrical Engineering, University of Ulsan
This paper applies a compressed algorithm to improve the spectrum sensing performance of cognitive radio technology. At the fusion center, the recovery error in the analog to information converter (AIC) when reconstructing the transmit signal from the received time-discrete signal causes degradation of the detection performance. Therefore, we propose a subspace pursuit (SP) algorithm to reduce the recovery error and thereby enhance the detection performance. In this study, we employ a wide-band, low SNR, distributed compressed sensing regime to analyze and evaluate the proposed approach. Simulations are provided to demonstrate the performance of the proposed algorithm.
Key words: Wide-Band Spectrum Sensing, Subspace Pursuit Algorithm, Cognitive Radio, Compressed Sensing, Power Spectrum Density Estimate
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