认知无线电中一种改进的AVC频谱感知算法

doi:10.11959/j.issn.1000-0801.2017029

Abstract

Abstract:

Absolute value cumulating (AVC) algorithm is a common spectrum sensing method in Laplacian noise (LED) surroundings,however,the ‘spikes or outliers' in Laplacian noise can't be fully smoothed,which results in bad detection performance.Aiming at this problem,an modified AVC spectrum sensing algorithm was proposed.The principle was to do the processing of the absolute value of the received signal and the processing result was accumulated as the test statistic to determine whether there was the main user and realize the spectrum sensing.In addition,the central limit theorem was used to deduce the probability density curve of the proposed test statistic in the absence of the primary user,and the theoretical decision threshold was given.Numerical results show that the proposed algorithm outperforms the AVC sensing algorithm and energy detection algorithm with Laplacian noise about 1 dB and 4 dB respectively.

Key words: spectrum sensing, Laplacian noise, central limit theorem, theoretical detection threshold

CLC Number:

TN92

Zhiyong HE. Modified absolute value cumulating spectrum sensing algorithm in cognitive radio[J]. Telecommunications Science, 2017, 33(2): 98-103.

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References 13

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Modified absolute value cumulating spectrum sensing algorithm in cognitive radio

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