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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2015

01.07.2015

Absolute Value Cumulating Based Spectrum Sensing with Laplacian Noise in Cognitive Radio Networks

verfasst von: Rui Gao, Zan Li, Husheng Li, Bo Ai

Erschienen in: Wireless Personal Communications | Ausgabe 2/2015

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Abstract

Spectrum sensing in the presence of non-Gaussian noise is a challenging problem for cognitive radio networks. However, there are few detectors that can work well in this case. Motivated by these, we propose a spectrum sensing algorithm via absolute value cumulating (AVC) with Laplacian noise. The AVC makes full use of the stochastic properties of Laplacian noise and the central limit theorem. Then the statistic of the proposed detector is derived. A performance analysis about the influence of noise uncertainty in the low signal-to-noise ratio regime is also given, which shows that the SNR Wall of the AVC is half of that of the energy detection. The algorithm are further introduced into existing cooperative spectrum sensing scheme. Simulation results validate the algorithm, and show that the proposed algorithm can improve the performance of existing algorithm at least 3 dB with Laplacian noise.
Vorheriger Artikel Variable Forgetting Factor RLS Algorithm-Based Channel Estimator for MC-IDMA Communication Systems
Nächster Artikel Dynamic Auction for Revenue Maximization in Spectrum Market

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Metadaten
Titel
Absolute Value Cumulating Based Spectrum Sensing with Laplacian Noise in Cognitive Radio Networks
verfasst von
Rui Gao
Zan Li
Husheng Li
Bo Ai
Publikationsdatum
01.07.2015
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2015
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-015-2457-4

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