Kavitha, Veeraruna and Sharma, Vinod (2004) Information Theoretic Comparison of Training, Blind and Semi Blind Signal Separation Algorithms in Mimo Systems. In: International Conference on Signal Processing and Communications:SPCOM '04, 11-14 December, Bangalore, India, pp. 407-411.
We consider the problem of comparing source/signal separation algorithms for MIMO wireless channels. The channel state is not known to the transmitter and the receiver. The receiver estimates the channel via a training sequence or uses blind methods to separate the signals. By comparing the 'capacity' of a composite channel, we find the optimal training size in training and semiblind methods. We also conclude that for Rician channels (with strong line of sight, LOS) (semi)blind algorithms outperform training based methods but for Rayleigh fading one should used training based methods only.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||Channel estimation;MIMO channels;Signal separation algorithms;Training sequence;Blind algorithms;CMA|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||09 May 2007|
|Last Modified:||19 Sep 2010 04:35|
Actions (login required)