【摘要】 Viterbi译码是一种应用广泛的最大似然估计算法。本文利用相邻几组判决数据之间的相互关系,对这几组数据进行联合判决估计,从而提高了译码性能。从仿真结果来看,当译码深度不大时,译码性能得到明显的改善。因此该算法可以在保证同等性能前提下,减小硬件规模,降低功耗。更多还原

【Abstract】 The Viterbi algorithm is a widely used maximum likelihood estimating method. A modified algorithm is proposed to improve the decoding performance by united-decision estimation based on the relationship between adjacent groups of data. Simulation results indicate that using the proposed algorithm, decoding performance can be improved significantly for small decoding depth. That means, both hardware complexity and power dissipation can be reduced for same performance.更多还原