ON AUTOCORRELATION-BASED MULTIANTENNA SPECTRUM SENSING FOR COGNITIVE RADIOS IN UNKNOWN NOISE
Spectrum Sensing for Cognitive Radio
Přednášející: Jitendra Tugnait, Autoři: 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.
Informace o přednášce
Nahráno: | 2011-05-24 14:25 - 14:45, Club E |
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Přidáno: | 22. 6. 2011 01:39 |
Počet zhlédnutí: | 60 |
Rozlišení videa: | 1024x576 px, 512x288 px |
Délka videa: | 0:19:23 |
Audio stopa: | MP3 [6.55 MB], 0:19:23 |
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