Maximum Likelihood Blind Channel Estimation for Space-Time Coding Systems

Maximum Likelihood Blind Channel Estimation for Space-Time Coding Systems

Blog Article

Sophisticated signal processing techniques have to be developed for capacity enhancement of future wireless communication systems.In recent years, space-time coding is proposed to provide significant capacity gains over the traditional communication systems in fading wireless COENZYME Q10 400 MG channels.Space-time codes are obtained by combining channel coding, modulation, transmit diversity, and optional receive diversity in order to provide diversity at the receiver and coding gain without sacrificing the bandwidth.

In this paper, we consider the problem of blind estimation of space-time coded signals along with the channel parameters.Both conditional and unconditional maximum likelihood approaches are developed and iterative solutions are proposed.The conditional maximum likelihood algorithm Bertazzoni KIN86MOD1XB 86cm Modern Series Canopy Hood – STAINLESS STEEL is based on iterative least squares with projection whereas the unconditional maximum likelihood approach is developed by means of finite state Markov process modelling.

The performance analysis issues of the proposed methods are studied.Finally, some simulation results are presented.