An optimal receiver for transmission diversity over uncertain channels

 

Abstract

A receiver for a dual transmit diversity system is designed that takes into account the channel estimation error, assuming the unknown channel to have a given complex bivariate Gaussian probability density function (PDF) (i.e., a Rician PDF). This criterion of the receiver, which is based on the maximum a posteriori (MAP) algorithm, is expressed in a quadratic form, and in extreme cases, represents either a linear detector or a non-coherent-non-linear detector. Simulations of the symbol error probability (SEP) of the receiver and analysis of an upper bound (UB) and a lower bound (LB) confirm that the proposed detector achieves robust performance against channel imperfections.

Keywords:

Detectors, Diversity methods, Channel estimation, Probability density function, Rician channels, Analytical models, Error probability, Performance analysis, Upper bound, Robustness .
Authors:

H Saligheh Rad and S Gazor
Conference:

Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP’03), vol. 4, pp. IV: 341-344, Hong Kong, April 6–10, 2003.
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