Near BER optimal partial response codes
(2005) IEEE International Symposium on Information Theory (ISIT), 2005 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:
https://lup.lub.lu.se/record/616299
- author
- Rusek, Fredrik LU and Anderson, John B LU
- organization
- publishing date
- 2005
- 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
- host publication
- 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
- conference location
- Adelaide, Australia
- conference dates
- 2005-09-04 - 2005-09-09
- external identifiers
-
- wos:000234713800114
- scopus:85114368259
- 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
- 2016-04-04 11:11:02
- date last changed
- 2022-01-29 21:30:57
@inproceedings{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}}, booktitle = {{2005 IEEE International Symposium on Information Theory, Adelaide}}, isbn = {{0-7803-9150-0}}, keywords = {{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 = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Near BER optimal partial response codes}}, url = {{https://lup.lub.lu.se/search/files/5713782/637421.pdf}}, doi = {{10.1109/ISIT.2005.1523393}}, year = {{2005}}, }