An optimal receiver for transmission diversity over uncertain channels



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.


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

H Saligheh Rad and S Gazor

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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