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Near BER optimal partial response codes

Rusek, Fredrik LU and Anderson, John B LU (2005) IEEE International Symposium on Information Theory (ISIT), 2005 In 2005 IEEE International Symposium on Information Theory, Adelaide p.538-542
Abstract
Partial response signaling (PRS) codes with maximal minimum Euclidean distance have previously been found by linear programming. These perform very well in the narrowband-high energy region, but they were not optimized for minimal bit error rate (BER), so they are only optimal in the limit of infinite signal to noise ratio. Here we search for codes that perform better for more practical signal to noise ratios. The BER objective function is no longer linear, but it is still convex
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
linear modulation, BER objective function, minimum Euclidean distance, linear programming, optimal partial response signaling codes, minimal bit error rate, narrowband-high energy signals
in
2005 IEEE International Symposium on Information Theory, Adelaide
pages
5 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Symposium on Information Theory (ISIT), 2005
external identifiers
  • WOS:000234713800114
ISBN
0-7803-9150-0
DOI
10.1109/ISIT.2005.1523393
project
Informations- och kommunikationsteori: Kodningsteknik
language
English
LU publication?
yes
id
c1264d32-c3ef-47c3-9412-993b0c40cd68 (old id 616299)
date added to LUP
2007-11-25 16:13:03
date last changed
2016-07-11 13:11:12
@misc{c1264d32-c3ef-47c3-9412-993b0c40cd68,
  abstract     = {Partial response signaling (PRS) codes with maximal minimum Euclidean distance have previously been found by linear programming. These perform very well in the narrowband-high energy region, but they were not optimized for minimal bit error rate (BER), so they are only optimal in the limit of infinite signal to noise ratio. Here we search for codes that perform better for more practical signal to noise ratios. The BER objective function is no longer linear, but it is still convex},
  author       = {Rusek, Fredrik and Anderson, John B},
  isbn         = {0-7803-9150-0},
  keyword      = {linear modulation,BER objective function,minimum Euclidean distance,linear programming,optimal partial response signaling codes,minimal bit error rate,narrowband-high energy signals},
  language     = {eng},
  pages        = {538--542},
  publisher    = {ARRAY(0x8176c08)},
  series       = {2005 IEEE International Symposium on Information Theory, Adelaide},
  title        = {Near BER optimal partial response codes},
  url          = {http://dx.doi.org/10.1109/ISIT.2005.1523393},
  year         = {2005},
}