Wideband Power Spectrum Sensing for Cognitive Radios Based on Sub-Nyquist Sampling

被引：3
作者：
Pan, Lebing [1 ,2 ]
Xiao, Shiliang [1 ,2 ]
Yuan, Xiaobing [1 ]
机构：
[1] Chinese Acad Sci, Key Lab Wireless Sensor Networks, Shanghai Inst Microsyst & Informat Technol, Shanghai, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
来源：
WIRELESS PERSONAL COMMUNICATIONS | 2015年 / 84卷 / 02期
关键词：
Sub-Nyquist sampling; Cognitive radio; Power spectrum estimation; Wideband sensing;
D O I：
10.1007/s11277-015-2668-8
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
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.
引用
收藏
页码：919 / 933
页数：15
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