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Conference papers
A Simple formulation for the Distribution of the Scaled Largest Eigenvalue and application to Spectrum Sensing
Abstract : "Scaled largest eigenvalue (SLE) detector stands out as the
best single-primary-user detector in uncertain noisy environments. In
this paper, we consider a multi-antenna cognitive radio system in which
we aim at detecting the presence/absence of a primary user (PU) using
the SLE detector. We study the distribution of the SLE as a large num-
ber of samples are used in detection without constraint on the number
of antennas. By the exploitation of the distributions of the largest eigen-
value and the trace of the receiver sample covariance matrix, we show
that the SLE could be modeled as a normal random variable. Moreover,
we derive the distribution of the SLE and deduce a simple yet accurate form of the probability of false alarm. Hence, this derivation yields a
very simple form of the detection threshold. The analytical derivations are validated through extensive Monte Carlo simulations."
https://hal-centralesupelec.archives-ouvertes.fr/hal-01318205
Contributor : Myriam Andrieux Connect in order to contact the contributor
Submitted on : Thursday, May 19, 2016 - 1:21:46 PM
Last modification on : Thursday, October 21, 2021 - 5:20:21 AM
Contributor : Myriam Andrieux Connect in order to contact the contributor
Submitted on : Thursday, May 19, 2016 - 1:21:46 PM
Last modification on : Thursday, October 21, 2021 - 5:20:21 AM
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