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Semi-blind maximum a posteriori multipath fast fading channel estimation for TDMA systems

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2 Author(s)
Siala, M. ; France Telecom, CNET, Issy-les-Moulineaux, France ; Gibert, R.B.

We propose a maximum a posteriori burst-by-burst multipath fast fading channel estimation algorithm for TDMA systems. This algorithm performs a semi-blind iterative channel estimation using the SAGE algorithm. It uses both CAZAC reference sequences and unknown symbols in the optimization of this channel estimation. It requires a convenient representation of the multipath fading channel using a discrete version of the Karhunen-Loeve expansion theorem. It also requires a trellis representation of the channel for an optimum characterization of data symbols by their a posteriori conditional probabilities. The computation of these probabilities can be realized via the Bahl or BCJR algorithm. The performance of our algorithm is evaluated by simulation for 4-PSK modulated TDMA systems

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Vehicular Technology Conference, 1999. VTC 1999 - Fall. IEEE VTS 50th  (Volume:1 )

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