联合判决估计在软判决Viterbi译码中的应用

该文利用相邻判决数据间的相互关系,提出了一种Viterbi截尾译码的改进算法,并将其应用到Turbo码的SOVA译码中.仿真表明,可以很好地降低复杂性和功耗.对Viterbi译码,可使留选存储的规模和功耗减少约20％,回溯单元的规模和功耗减少约30％.对Turbo码的SOVA译码,可使可靠值存储和输出单元的规模和功耗降低约15％,或迭代次数减少一半.

United-Decision Estimating Used in Soft-Decision Viterbi Decoding

By using the relation of neighboring data, an improved Viterbi algorithm is proposed and extended it to SOVA decoding of Turbo code in this paper. Simulation results show that, the improved algorithm has reduced-implementation-complexity and lower power consumption. With the proposed algorithm, it is achieved that reduction of 20% in the size and power consumption of survivor memory and reduction of 30% in the size and power consumption of trace back unit in Viterbi decoding. Furthermore, the improvement can achieve reduction of about 15% in the size and power consumption of reliability metric memory and output unit or save half iterations in soft-decision output Viterbi algorithm of Turbo code.