NDLI: Analysis of α-domain noise and feature detection for cognitive radio systems

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Analysis of α-domain noise and feature detection for cognitive radio systems

Content Provider	ACM Digital Library
Author	Yang, Feng Gan, Xiaoying Cao, Zhongren Zhou, Yuan Zhang, Wei Xu, Miao
Abstract	Cyclostationary feature detection is capable of improving sensing performance in Cognitive Radio systems. The maximum over spectral on cyclostationary domain is called α-domain. α-domain feature detection will greatly reduce computational complexity with respect to prior-knowledge of carrier frequency. To select the threshold for α-domain feature detection under a given noise level and miss detection probability $P_{f},$ we need the expression of α-domain noise distribution. In this paper, Generalized Extreme Value (GEV) distribution is introduced and found as the noise distribution on α-domain. Maximum likelihood estimation is applied to estimate the parameters of GEV distribution. Based on GEV distribution, close form of detection threshold $λ_{th}$ in terms of false alarm probability $P_{f}$ is obtained. The validation of α-domain noise distribution is confirmed by the Monte-Carlo simulation.
Starting Page	976
Ending Page	980
Page Count	5
File Format	PDF
ISBN	9781450300629
DOI	10.1145/1815396.1815619
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-06-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Spectrum sensing Α-domain noise distribution Cyclostationary feature detection Cognitive radio
Content Type	Text
Resource Type	Article

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