论文部分内容阅读
为了改善纠错码译码算法的综合性能,基于遗传算法提出一种新颖的概率译码算法.利用未经量化的接收序列中的额外信息,通过遗传算法优化接收解调器的匹配滤波器输出达到弥补硬判决误差的目的,从而恢复出最似然传输码字.通过对概率译码的算法性能分析可知,该算法的译码过程几乎不受码元个数的影响,复杂度相对较低,且能实现快速优化译码.仿真结果表明,该译码算法具有良好的译码纠错性能,是一种实用性强的译码算法.
In order to improve the performance of error correction code decoding algorithm, a novel probabilistic decoding algorithm is proposed based on genetic algorithm.Using the additional information in the unquantized received sequence, the matched demodulator output is optimized by genetic algorithm So as to make up for the hard decision error and thus recover the most likely transmitted codeword.The performance analysis of the algorithm for probability decoding shows that the decoding process of the algorithm is hardly affected by the number of symbols and the complexity is relatively low , And can achieve fast and optimized decoding.The simulation results show that the decoding algorithm has good decoding and error correction performance and is a practical decoding algorithm.