TY - GEN
T1 - Asymptotic analysis of A∗ maximum-likelihood decoding with reliability reordering
AU - Milenkovic, O.
AU - Vasic, Bane V
N1 - Publisher Copyright:
© 2003 IEEE.
PY - 2003
Y1 - 2003
N2 - We investigate the computational complexity of the A∗ algorithm with reliability reordering, applied to maximum-likelihood (ML) decoding of block codes. Extensive computer simulations show that A∗ decoding with reliability reordering offers good average computational performance, but up to date there is no accurate analytical description of the decoding complexity. By using the theory of order statistics, we derive asymptotic bounds for the maximum decoding complexity as well as approximations for the average decoding complexity of the algorithm for large noise levels. The analysis shows that reordering is a key feature of the algorithm that allows for substantial computational savings.
AB - We investigate the computational complexity of the A∗ algorithm with reliability reordering, applied to maximum-likelihood (ML) decoding of block codes. Extensive computer simulations show that A∗ decoding with reliability reordering offers good average computational performance, but up to date there is no accurate analytical description of the decoding complexity. By using the theory of order statistics, we derive asymptotic bounds for the maximum decoding complexity as well as approximations for the average decoding complexity of the algorithm for large noise levels. The analysis shows that reordering is a key feature of the algorithm that allows for substantial computational savings.
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U2 - 10.1109/ITW.2003.1216757
DO - 10.1109/ITW.2003.1216757
M3 - Conference contribution
AN - SCOPUS:84939179277
T3 - Proceedings - 2003 IEEE Information Theory Workshop, ITW 2003
SP - 316
EP - 319
BT - Proceedings - 2003 IEEE Information Theory Workshop, ITW 2003
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2003 IEEE Information Theory Workshop, ITW 2003
Y2 - 31 March 2003 through 4 April 2003
ER -