Title :
Sequence estimation and synchronization from nonsynchronized samples
Author :
Georghiades, Costas N. ; Moeneclaey, Marc
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
11/1/1991 12:00:00 AM
Abstract :
The authors study the problem of maximum-likelihood sequence estimation and synchronization from samples of the output of a matched filter taken at integer multiples of the symbol rate, which is assumed perfectly known by the receiver. A general analysis is presented of sampled receivers that handle arbitrary baseband pulse shapes and arbitrary sampling rates. It is observed that the optimal processing of the matched-filter samples consists of digital interpolation, followed by symbol-by-symbol decoding when sampling is at (or above) the Nyquist rate or Viterbi decoding when sampling is below the Nyquist rate. Performance is studied through the Cramer-Rao bound on mean-square estimation error and a lower-bound on error-probability
Keywords :
error statistics; filtering and prediction theory; information theory; matched filters; parameter estimation; synchronisation; Cramer-Rao bound; MLE; Nyquist rate; Viterbi decoding; arbitrary baseband pulse shapes; arbitrary sampling rates; digital interpolation; error-probability; lower-bound; matched filter; maximum-likelihood sequence estimation; mean-square estimation error; nonsynchronized samples; optimal processing; sampled receivers; symbol-by-symbol decoding; synchronization; Baseband; Estimation error; Interpolation; Matched filters; Maximum likelihood decoding; Maximum likelihood estimation; Pulse shaping methods; Sampling methods; Shape; Viterbi algorithm;
Journal_Title :
Information Theory, IEEE Transactions on