EEF Criterion Based Wideband Spectrum Sensing Used in Cognitive Radio

doi:10.13190/j.jbupt.2014.06.024

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (6): 115-119.doi: 10.13190/j.jbupt.2014.06.024

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EEF Criterion Based Wideband Spectrum Sensing Used in Cognitive Radio

SHEN Bin, YU Jun, HUANG Qiong, CHEN Qian-bin

Key Laboratory of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received:2014-03-18 Online:2014-12-28 Published:2014-10-17

Abstract

Abstract:

Exponentially embedded families (EEF) criterion based wideband spectrum sensing schemes were proposed for cognitive radios. Based on the EEF criterion, the signal and noise subspaces were considered in spectrum observation data and the EEF wideband sensing was improved by employing Gerschgorin unitary transformation in data processing. Correspondingly, the developed wideband sensing algorithm was operated under Gerschgorin EEF (GEEF) criterion. The proposed two algorithms estimate the cardinality of the primary user signal occupied subband set via EEF or GEEF criterion to identify idle subbands for secondary users dynamically accessing the licensed frequency band. Analysis and simulation verify that the proposed algorithms do not need any a prior knowledge of the noise power and the primary user signal. They are robust against the noise power uncertainty problem.

Key words: cognitive radio, wideband spectrum sensing, exponentially embedded families criterion, Gerschgorin unitary transformation

CLC Number:

TN929.53

SHEN Bin, YU Jun, HUANG Qiong, CHEN Qian-bin. EEF Criterion Based Wideband Spectrum Sensing Used in Cognitive Radio[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(6): 115-119.

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EEF Criterion Based Wideband Spectrum Sensing Used in Cognitive Radio

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