Internet Archive Scholar

A simple method to improve the performance of convolutional vector symbol decoding with small symbol size

U. Tuntoolavest
2004 IEEE Region 10 Conference TENCON 2004.  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (403.3 kB)
https://web.archive.org/web/20200321151329/http://pindex.ku.ac.th/file_research/EE47.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

Vector Symbol Decoding (VSD) is a channel code decoding technique that works with nonbinary symbols. It has many good features and performance, but one main limitation is the need to use large symbol size. Prior works usually use at least 24-bit symbols and in most case the assumption is 32-bit symbols. This paper shows the effect of symbol size and also a simple method to improve the performance of relatively much smaller symbol size of 16-bit symbols. The result shows that the improvement in
more » ... he decoding failure probability of 16-bit symbols is noticeable with the proposed method. However, it is still more suitable to use 24-bit or 32-bit symbols whenever possible since their performances are significantly better as expected.
doi:10.1109/tencon.2004.1414686 fatcat:l4igou7mwzau5krserqplvvcwa
Citation

U. Tuntoolavest. "A simple method to improve the performance of convolutional vector symbol decoding with small symbol size." 2004 IEEE Region 10 Conference TENCON 2004.