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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Journal ArticleDOI
A novel method of blind signal detection using the distribution of the bin values of the power spectrum density and the moving average
TL;DR: A novel method of blind signal detection that does not require knowledge of the noise variance is proposed that uses the distribution of the bin values of the power spectrum density of the received signal and the moving average.
Posted Content
Multiple-Antenna Signal Detection in Cognitive Radio Networks with Multiple Primary User Signals
Book ChapterDOI
Spectrum Sensing in Cognitive Radio Networks
TL;DR: This chapter discusses spectrum sensing for cognitive radio networks and explores the classical non-cooperative spectrum sensing techniques which form the basis for the more elaborate, cooperative techniques presented in Sec. 1.4.
Proceedings ArticleDOI
Energy-Detection performance for SIMO Cognitive Radio Systems with Selection Combining over κ -μ Shadowed Fading Channels
TL;DR: Novel, unified, and accurate analytical expressions for the average detection probability $(\overline {P}_{d})$ and the average area under the receiver operating characteristic curve (average AUC) are derived.
Proceedings ArticleDOI
A GLRT approach for detecting correlated signals in white noise in two MIMO channels
TL;DR: This work derives generalized likelihood ratio (GLR) tests for this second-order detection problem where rank-p signals are structured by an unknown, but common, p-dimensional random vector and then received through unknown M × p matrices at each of two M-element arrays.
References
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Proceedings Article
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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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