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ON AUTOCORRELATION-BASED MULTIANTENNA SPECTRUM SENSING FOR COGNITIVE RADIOS IN UNKNOWN NOISE

Spectrum Sensing for Cognitive Radio

Full Paper at IEEE Xplore

Presented by: Jitendra Tugnait, Author(s): Jitendra Tugnait, Auburn University, United States

Recently several time-domain approaches relying on the generalized likelihood ratio test (GLRT) paradigm have been proposed for multiple antenna spectrum sensing in cognitive radios. These approaches are suitable for flat-fading channels in white noise with equal noise variances across antennas; knowledge of the noise variance is not required, unlike the energy detector. In this paper we investigate a method based on the sample autocorrelation of the received multiantenna signal where we allow the noise variances to be different at different antennas without requiring knowledge of their values. A performance analysis of the proposed detector is carried out. Supporting simulation examples are provided.

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  Lecture Information

Recorded: 2011-05-24 14:25 - 14:45, Club E
Added: 22. 6. 2011 01:39
Number of views: 60
Video resolution: 1024x576 px, 512x288 px
Video length: 0:19:23
Audio track: MP3 [6.55 MB], 0:19:23