Title :
Reduced lists of error patterns for maximum likelihood soft decoding
Author_Institution :
Dept. of Electr. Eng. Syst., Tel-Aviv Univ., Ramat-Aviv, Israel
fDate :
7/1/1991 12:00:00 AM
Abstract :
A method whereby a substantially reduced family of error patterns, called survivors, may be created for maximum likelihood soft decoding is introduced. The family of survivor depends on the received word. A decoder based on this approach first forms the survivors, then scores them. Rather than obtaining the survivors by online elimination of error patterns, the use of predetermined lists that represent all families of survivors is proposed
Keywords :
coding errors; decoding; error patterns; maximum likelihood soft decoding; predetermined lists; survivors; Block codes; Computational complexity; Hamming weight; Information theory; Lattices; Maximum likelihood decoding; Maximum likelihood detection; Parallel processing; Sections; Sorting;
Journal_Title :
Information Theory, IEEE Transactions on