Low-complexity iterative channel estimation for serially concatenated systems over frequency-nonselective Rayleigh fading channels |
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Authors: | Joonbeom Kim Gordon L Stuber Ye Li |
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Affiliation: | Sch. of Electr. & Comput. Eng., Georgia Tech., Atlanta, GA; |
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Abstract: | A low-complexity iterative maximum a posteriori (MAP) channel estimator is proposed whose complexity increases linearly with the symbol alphabet size 'M. Prediction-based MAP channel estimation is not appropriate with a high-order prediction filter or a large modulation alphabet size, since the computational complexity increases with ML , where L is the predictor order. In contrast, the proposed channel estimator has a constant number of trellis states regardless of the prediction filter order, and is shown to provide comparable error performance to the prediction-based MAP estimator |
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