Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | The best of the best |
| Place of Publication | New York, USA |
| Publisher | Wiley |
| Pages | 305-312 |
| Number of pages | 8 |
| ISBN (Print) | 0-470-11268-9 |
| Publication status | Published - 2007 |
Publication series
| Name | |
|---|---|
| Publisher | John Wiley & Sons, Inc. Publication |
Keywords
- EWI-9910
- IR-64041
- METIS-245715
Cite this
}
Maximum likelihood receiver for multiple channel transmission systems. / van Etten, Wim.
The best of the best. New York, USA : Wiley, 2007. p. 305-312.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
TY - CHAP
T1 - Maximum likelihood receiver for multiple channel transmission systems
AU - van Etten, Wim
PY - 2007
Y1 - 2007
N2 - A maximum likelihood (ML) estimator for digital sequences disturbed by Gaussian noise, intersymbol interference (ISI) and interchannel interference (ICI) is derived. It is shown that the sampled outputs of the multiple matched filter (MMF) form a set of sufficient statistics for estimating the input vector sequence. Two ML vector sequence estimation algorithms are presented. One makes use of the sampled output data of the multiple whitened matched filter and is called the vector Viterbi algorithm. The other one is modification of the vector Viterbi algorithm and uses directly the sampled output of the MMF. It appears that, under a certain condition, the error performance is asymptotically as good as if both ISI and ICI were absent.
AB - A maximum likelihood (ML) estimator for digital sequences disturbed by Gaussian noise, intersymbol interference (ISI) and interchannel interference (ICI) is derived. It is shown that the sampled outputs of the multiple matched filter (MMF) form a set of sufficient statistics for estimating the input vector sequence. Two ML vector sequence estimation algorithms are presented. One makes use of the sampled output data of the multiple whitened matched filter and is called the vector Viterbi algorithm. The other one is modification of the vector Viterbi algorithm and uses directly the sampled output of the MMF. It appears that, under a certain condition, the error performance is asymptotically as good as if both ISI and ICI were absent.
KW - EWI-9910
KW - IR-64041
KW - METIS-245715
M3 - Chapter
SN - 0-470-11268-9
SP - 305
EP - 312
BT - The best of the best
PB - Wiley
CY - New York, USA
ER -