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...

Mô tả đầy đủ

Chi tiết về thư mục
Xuất bản năm:IEEE Transactions on communications 49, 7 (2001).
Tác giả chính: Cirpan, H.A
Định dạng: Bài viết
Ngôn ngữ:English
Những chủ đề:
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.