Central limit theorem for quadratic forms based on Gram random matrices
vendredi 4 mars 2011, 13h30 - 14h30
Motivated by applications in wireless communications, we are interested by the limiting behavior of the SINR at the output of the LMMSE estimator. The SINR can be written as a quadratic form based on random Gram matrices.
In this work, we prove that, when centered and properly rescaled, this statistic (SINR) satisfies a central limit theorem.