Joint estimation and detection for transmit diversity over fast fading channels



This paper presents a simple channel estimation algorithm based on the maximum a posteriori (MAP) method for a dual transmit diversity system, using a space-time (ST) receiver that takes into account the channel estimation error and assumes that the unknown channel has a given complex bivariate Gaussian probability density function (pdf) (i.e., a Ricean distribution). The channel pdf is updated for the next iteration by estimates of the statistics of the channel coefficients, and a very simple adaptive algorithm is derived for channel estimation. Simulations confirm that the proposed scheme achieves robust performance in the time-varying scenario with few training symbols, when the signal-to-noise ratio (SNR) is not very low. The algorithm is capable of efficiently tracking a fast Rayleigh fading channel. However, the occurrence of two types of ambiguities might result in error propagation which are addressed here.


Fading, Channel estimation, Robustness, Time-varying channels, Diversity methods, Bandwidth, Degradation, AWGN, Detectors, Computer errors .

S Gazor and H Saligheh Rad

Proceedings of Seventh International Symposium on Signal Processing and its Applications, (ISSPA’03), 2003, vol. 1, pp. 37–40, July 1-4, 2003.
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