Journal ArticleDOI
Multiple antenna spectrum sensing in cognitive radios
TLDR
The simulation results provide the available traded-off in using multiple antenna techniques for spectrum sensing and illustrates the robustness of the proposed GLR detectors compared to the traditional energy detector when there is some uncertainty in the given noise variance.Abstract:
In this paper, we consider the problem of spectrum sensing by using multiple antenna in cognitive radios when the noise and the primary user signal are assumed as independent complex zero-mean Gaussian random signals. The optimal multiple antenna spectrum sensing detector needs to know the channel gains, noise variance, and primary user signal variance. In practice some or all of these parameters may be unknown, so we derive the generalized likelihood ratio (GLR) detectors under these circumstances. The proposed GLR detector, in which all the parameters are unknown, is a blind and invariant detector with a low computational complexity. We also analytically compute the missed detection and false alarm probabilities for the proposed GLR detectors. The simulation results provide the available traded-off in using multiple antenna techniques for spectrum sensing and illustrates the robustness of the proposed GLR detectors compared to the traditional energy detector when there is some uncertainty in the given noise variance.read more
Citations
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Proceedings ArticleDOI
Multiantenna spectrum sensing for Cognitive Radio: overcoming noise uncertainty
TL;DR: A novel detector is proposed, based on an approximation to the Generalized Likelihood Ratio, outperforming previous schemes for uncalibrated multiantenna receivers, and trading off performance and complexity.
Journal ArticleDOI
Multiple Antenna Cyclostationary Spectrum Sensing Based on the Cyclic Correlation Significance Test
TL;DR: The proposed spectrum sensing method is shown to provide higher detection probability and better robustness to noise uncertainty than existing multiple antenna cyclostationary-based spectrum sensing algorithms under both AWGN as well as a quasi-static Rayleigh fading channel.
Journal ArticleDOI
Performance of an Improved Energy Detector in Multihop Cognitive Radio Networks
TL;DR: It is shown, through various numerical examples, that by using the optimal number of secondary transmission paths, it is possible to perform quick spectrum sensing while satisfying an upper bound on the total error rate.
Proceedings ArticleDOI
Overview of spectrum sensing for cognitive radio
TL;DR: A survey of state-of-the-art algorithms for spectrum sensing in cognitive radio, and presents data fusion rules for soft and hard combining, and discusses the energy efficiency of several different sensing, sleeping and censoring schemes in detail.
Journal ArticleDOI
On Multiple Antenna Spectrum Sensing Under Noise Variance Uncertainty and Flat Fading
TL;DR: A spectrum sensing method based on asymptotic analysis of the discrete Fourier transform of the received multiantenna signal, possibly non-Gaussian, for flat-fading primary user signals in white noise under noise variance uncertainty is investigated.
References
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Detection of signals by information theoretic criteria
Mati Wax,Thomas Kailath +1 more
TL;DR: Simulation results that illustrate the performance of the new method for the detection of the number of signals received by a sensor array are presented.
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