1. Wide-band compressed spectrum sensing method based on spectrum pool edge detection.
- Author
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LI Mingyang, BAI Peng, WANG Xuhua, LI Hao, and WANG Feng
- Abstract
Spectrum sensing is an important issue of cognitive radio(CR), the complexity of which can be efficiently reduced by introducing spectrum pooling strategy. Because of the intrinsic sparsity of specrum pool the payoff of spectrum sensing can be increasingly decreased by employing compressed sensing technique. In this paper a wideband compressed spectrum sensing(CSS) method based on spectrum pooling edge detection is derived. The mathematic connection of the compressed sampling signal and the spectrum pooling edge was firstly analyzed, based on which the CSS model of wideband spectrum sensing was established in this paper. At last, analysis and simulation results show that this method achieves better detection performance and costs lower computing resource than edge detection based CS spectrum sensing method. [ABSTRACT FROM AUTHOR]
- Published
- 2014
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