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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Detalles Bibliográficos
Publicado en:IEEE Transactions on communications 49, 7 (2001).
Autor Principal: Cirpan, H.A
Formato: Artigo
Idioma:English
Subjects:
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.