Title :
On maximum likelihood soft decoding of some binary self-dual codes
Author :
Ran, Moshe ; Snyders, Jakov
Author_Institution :
Dept. of Electr. Eng.-Syst., Tel-Aviv Univ., Ramat Aviv, Israel
fDate :
3/1/1993 12:00:00 AM
Abstract :
Efficient algorithms are derived for maximum likelihood (ML) soft-decision decoding of some binary self-dual codes. A family of easily decodable self-dual codes is derived by modifying a known F24, which has a weight distribution resembling that of the [24, 12, 8] Golay code G24. The ML decoding of F24 is accomplished by only 227 real additions, compared to 651 required for G24, yet the error rates of the two decoders are similar for moderate noise conditions
Keywords :
block codes; decoding; error correction codes; Golay code; binary self-dual codes; computational complexity; error rates; linear block code; maximum likelihood soft decoding; weight distribution; Block codes; Communications Society; Error analysis; Hamming weight; Maximum likelihood decoding; Parity check codes; Radio access networks; Reflection; Signal to noise ratio; Vectors;
Journal_Title :
Communications, IEEE Transactions on
