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为了提高采用短交织器的串行级联卷积码在低级迭代译码时的性能 ,将对数最大似然算法的译码结构引入传统的SOVA中以增强其在短交织时延时的性能 .由于对数最大似然算法和SOVA算法的结合避免了对最大路径中每步度量的更新 ,该算法也对低时延要求有所贡献 .对几种串行级联卷积码仿真的结果表明改进的译码器能在短帧交织时获得满意的性能 .改进的串行级联卷积码的译码算法和设计适用于高比特率低时延的通信系统 .
In order to improve the performance of serial concatenated convolutional codes with short interleaver in low-level iterative decoding, the decoding structure of log-maximum likelihood algorithm is introduced into traditional SOVA to enhance its performance in short interleaving delay . The algorithm also contributes to the low latency requirement due to the combination of the logarithmic maximum likelihood algorithm and the SOVA algorithm, which avoids the update to each measure in the largest path.Results of several serial concatenated convolutional code simulations Which shows that the improved decoder can achieve satisfactory performance in short frame interleaving.The decoding algorithm and design of the improved serial concatenated convolutional code are suitable for the communication system with high bitrate and low delay.