基于并行预测控制的Turbo码译码结构

提出一种基于并行预测控制的Turbo码译码结构. 通过建立预测控制模块(PCA)来预测分量译码器第n+1次的译码外部信息值. 相比于传统的并行译码方案，基于PCA模块的PPC-Turbo结构可以降低译码算法的复杂度，并减少译码时延. 通过对单次外部信息值预测（6～9次）及复次外部信息值预测（6+8、7+9次），对比了外部信息预测的变化趋势及不同帧长（1?024、512、256、128、64帧）情况下的译码时延，验证了译码时延的减少. 在帧长为1?024、信噪比为0～2?dB时，对译码器2第6～8次的外部信息进行了单次预测，比较了PPC-Turbo与Turbo的误比特率(BER)性能，结果表明，两者的BER非常接近，预测控制模块可以代替分量译码器的一次译码迭代.

Decoding Structure of Turbo Code Based on Parallel Prediction Control

An decoding structure of Turbo code based on parallel prediction control (PPC-Turbo) is presented. The value of № (n+1) exterior information is predicted by prediction control algorithm (PCA). Compared to the traditional decoding algorithm, the PPC-Turbo structure based on PCA could reduce the complexity and delay of the decoding algorithm. The trend of the exterior information prediction is compared by the single prediction 6～9th and the compound prediction 6+8th,7+9th exterior information values in sequence. It is verified the delay reduction by the comparison of decoding delay under different frame length. The bit error rate performance curve is also compared between PPC-Turbo and traditional Turbo structure. The simulation results show that the process of the component decoder could be used instead.