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Title of Journal: Wireless Pers Commun

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Abbravation: Wireless Personal Communications

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Springer US

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DOI

10.1007/bf02858892

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1572-834X

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Wideband Power Spectrum Sensing for Cognitive Radi

Authors: Lebing Pan Shiliang Xiao Xiaobing Yuan
Publish Date: 2015/05/13
Volume: 84, Issue: 2, Pages: 919-933
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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 subNyquist sampling instead of signal recovery Compared to other spectrum sensing methods based on subNyquist 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 crosspower 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

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