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 :
