In this paper, we investigate the statistical properties of the largest and the smallest eigenvalue of Wishart matrices. The results we obtained are very general as they can be used for central and non central uncorrelated and central correlated Wishart. Furthermore, we derive a very concise expression for the probability density function of the largest and the smallest eigenvalue of a Wishart matrix. Numerical results for Multi-Input-Multi-Output with maximal ratio combining show that in case of correlated Rayleigh fading, the presence of correlation plays a different role depending on the value of signal-to-noise ratio
Performance of MIMO MRC in correlated Rayleigh fading environments
A Zanella;M Chiani;
2005
Abstract
In this paper, we investigate the statistical properties of the largest and the smallest eigenvalue of Wishart matrices. The results we obtained are very general as they can be used for central and non central uncorrelated and central correlated Wishart. Furthermore, we derive a very concise expression for the probability density function of the largest and the smallest eigenvalue of a Wishart matrix. Numerical results for Multi-Input-Multi-Output with maximal ratio combining show that in case of correlated Rayleigh fading, the presence of correlation plays a different role depending on the value of signal-to-noise ratioFile in questo prodotto:
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