DocumentCode
775353
Title
New Short Constraint Length, Rate 1/N Convolutional Codes Which Minimize the Required SNR for Given Desired Bit Error Rates
Author
Lee, Pil Joong
Author_Institution
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Volume
33
Issue
2
fYear
1985
fDate
2/1/1985 12:00:00 AM
Firstpage
171
Lastpage
177
Abstract
New, good ( 
) convolutional codes are tabulated for 
and 
, which were selected based on the criterion of minimizing the required signal-to-noise ratio (SNR) for given desired bit error rates (BER). A transfer function upper bound was used to find the BER performance. Partial searches were performed using the idea that "good codes generate good lower rate codes." The new codes save signal energy up to 0.4 dB compared to previously reported codes of the same parameters.
) convolutional codes are tabulated for and , which were selected based on the criterion of minimizing the required signal-to-noise ratio (SNR) for given desired bit error rates (BER). A transfer function upper bound was used to find the BER performance. Partial searches were performed using the idea that "good codes generate good lower rate codes." The new codes save signal energy up to 0.4 dB compared to previously reported codes of the same parameters.Keywords
Convolutional coding; Algorithm design and analysis; Bit error rate; Computational complexity; Convolutional codes; Matrix decomposition; Parallel algorithms; Partitioning algorithms; Routing; Testing;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOM.1985.1096259
Filename
1096259
Link To Document