Decoding Linear Block Codes Using a Priority-First Search : Performance Analysis and Suboptimal Version

An efficient maximum-likelihood soft-decision decoding algorithm for linear block codes using a generalized Dijkstra’s algorithm was proposed by Han, Hartmann, and Chen. In this correspondence we prove that this algorithm is efficient for most practical communication systems where the probability of error is less than 10 3 by finding an upper bound of the computational effort of the algorithm. A suboptimal decoding algorithm is also proposed. The performance of this suboptimal decoding algorithm is within 0.25 dB of the performance of an optimal decoding algorithm for the (104; 52) binary extended quadratic residue code, and within 0.5 dB of the optimal performance for the (128; 64) binary BCH code, respectively.