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- Title
Wideband Power Spectrum Sensing for Cognitive Radios Based on Sub-Nyquist Sampling.
- Authors
Pan, Lebing; Xiao, Shiliang; Yuan, Xiaobing
- Abstract
In a cognitive radio system, efficient wideband spectrum estimation is a basic component of dynamic spectrum access. The systems high sampling rate is the main challenge in the frontend. In this paper, wideband power spectrum sensing is studied based on sub-Nyquist sampling instead of signal recovery. Compared to other spectrum sensing methods based on sub-Nyquist sampling, the proposed scheme is suitable for both sparse and nonsparse signals. A low complexity, adaptive resolution frequency averaging scheme is proposed to exploit the cross-power spectrum between the outputs of different channels. Spectrum reconstruction presents only a simple least square without any sparse constraint. The normalized mean square error is computed to demonstrate estimation performance.
- Subjects
NYQUIST frequency; COGNITIVE radio; SAMPLING theorem; TELECOMMUNICATION spectrum; BROADBAND communication systems; PERFORMANCE evaluation
- Publication
Wireless Personal Communications, 2015, Vol 84, Issue 2, p919
- ISSN
0929-6212
- Publication type
Article
- DOI
10.1007/s11277-015-2668-8