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Proceedings ArticleDOI

An efficient blind spectrum sensing scheme for OFDM based CR in multipath environment

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TLDR
An algorithm based on the property of OFDM signals i.e. cyclic prefix correlation coefficient (CPCC) is given and performs well for environment without multipath, by taking multipath environment into consideration, multipath based GLRT algorithm is obtained.
Abstract
Cognitive radio technology is an emerging solution to avoid spectrum underutilization. Cognitive radio obtains and adjusts its parameters according to its surrounding environment. Cognitive radio involves the task of spectrum sensing, spectrum sharing, spectrum management etc. Spectrum sensing is first and most important task in case of cognitive radio. Due to major challenge of detecting signals in low signal to noise ratio environment, spectrum sensing is important task. In this paper an algorithm based on the property of OFDM signals i.e. cyclic prefix correlation coefficient (CPCC) is given. This algorithm performs well for environment without multipath. So, by taking multipath environment into consideration, multipath based GLRT algorithm is also obtained. Further performance improvement is achieved by combining both these algorithms.

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References
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Journal ArticleDOI

Cognitive radio: brain-empowered wireless communications

TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Journal ArticleDOI

Energy detection of unknown deterministic signals

H. Urkowitz
TL;DR: By using Shannon's sampling formula, the problem of the detection of a deterministic signal in white Gaussian noise, by means of an energy-measuring device, reduces to the consideration of the sum of the squares of statistically independent Gaussian variates.
Journal ArticleDOI

On the Energy Detection of Unknown Signals Over Fading Channels

TL;DR: This letter addresses the problem of energy detection of an unknown signal over a multipath channel with the no-diversity case, and presents some alternative closed-form expressions for the probability of detection to those recently reported in the literature.
Proceedings ArticleDOI

On the energy detection of unknown signals over fading channels

TL;DR: It is shown that there is not much improvement in the probabilities of detection when either the probability of false alarm (P/sub f/) exceeds 0/1 or the average signal-to-noise ratio (SNR) exceeds 20 dB.
Proceedings ArticleDOI

Fundamental limits on detection in low SNR under noise uncertainty

TL;DR: It is shown that for every 'moment detector' there exists an SNR below which detection becomes impossible in the presence of noise uncertainty, and if the authors' radio has a finite dynamic range, then at low enough SNR, any detector can be rendered useless even under moderate noise uncertainty.
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