Maximum-likelihood estimation of FIR channels excited by convolutionally encoded inputs.

Maximum-likelihood estimation of FIR channels excited by convolutionally encoded inputs.

If error correcting coding is present in the information symbols, the channel estimation procedure may be further complicated, since the encoder introduces a nonlinear operation on the information symbols (in the field of reals). Moreover, because of the encoder's memory, the input to the chann...

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書目詳細資料
發表在:IEEE Transactions on communications 49, 7 (2001).
主要作者: Cirpan, H.A
格式: Article
語言:English
主題:
FIR channels.
HMM.
MLE algorithm.
Approximate Cramer-Rao bounds.
Approximate expressions.
Blind channel equalization methods.
Blind stochastic maximum-likelihood channel estimation.
Channel estimation.
Convolutionally encoded inputs.
Encoder memory.
Error correcting coding.
Error probability.
Estimator performance.
Hidden Markov model.
Information symbols.
Maximum-likelihood estimation.
Multipath channel.
Nonlinear operation.
Simulations.