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Low-complexity iterative channel estimation for serially concatenated systems over frequency-nonselective Rayleigh fading channels

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3 Author(s)
JoonBeom Kim ; Sch. of Electr. & Comput. Eng., Georgia Tech., Atlanta, GA ; Stuber, G.L. ; Ye Li

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

Published in:

Wireless Communications, IEEE Transactions on  (Volume:6 ,  Issue: 2 )

Date of Publication:

Feb. 2007

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