A general moment generating function for MRC diversity over fading channels with Gaussian channel gains
作者： Rainfield Y. Yen , Hong-Yu Liu
DOI: 10.1002/DAC.820
关键词: Communication channel 、 Fading distribution 、 Moment-generating function 、 Fading 、 Covariance matrix 、 Phase-shift keying 、 Algorithm 、 Maximal-ratio combining 、 Computer science 、 Statistics 、 Channel state information
摘要: For maximal ratio combining (MRC) diversity over correlated fading channels with Gaussian channel gains, we utilize unitary diagonalization of the covariance matrix to decorrelate physical into uncorrelated virtual obtain moment generating function (MGF) received signal-to-noise (SNR). The MGF thus obtained has a compact form and can be universally applied various popular models. In addition advantage simple derivation procedure, this general readily modified express scenarios power distributions as well joint To demonstrate these advantages, use generalized Ricean specific example compare our expression an existing work in literature. Again, present numerical simulations for MRC reception binary phase shift keying (BPSK) signals Nakagami results appearing Copyright © 2006 John Wiley & Sons, Ltd.
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