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EURASIP Journal on Advances in Signal Processing

, 2006:085303

Reliable Communications over Rapidly Time-Varying Channels

Abstract

Channel estimation for single-input multiple-output SIMO frequency-selective time-varying channels is considered using superimposed training. The time-varying channel is assumed to be described by a complex exponential basis expansion model CE-BEM. A periodic nonrandom training sequence is arithmetically added superimposed at a low power to the information sequence at the transmitter before modulation and transmission. A two-step approach is adopted where in the first step we estimate the channel using CE-BEM and only the first-order statistics of the data. Using the estimated channel from the first step, a Viterbi detector is used to estimate the information sequence. In the second step, a deterministic maximum-likelihood DML approach is used to iteratively estimate the SIMO channel and the information sequences sequentially, based on CE-BEM. Three illustrative computer simulation examples are presented including two where a frequency-selective channel is randomly generated with different Doppler spreads via Jakes- model.

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Autor: Jitendra K Tugnait - Xiaohong Meng - Shuangchi He

Fuente: https://link.springer.com/







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