节点文献
基于混沌控制的自适应Turbo码译码改进算法
Self-adaptive algorithm for an end Turbo decoder based on chaos control
【摘要】 针对Turbo码在译码过程中迭代次数不确定的缺点,提出了一种新的改进算法。即在对附加信息(译码器的先验信息)进行混沌控制的基础上,以附加信息间的距离度量作为迭代终止的判定。仿真试验表明,该改进算法能在保证译码的准确性基础上,避免大量无谓的计算,提高译码速度,尤其在信噪比较大的情况下,效果更为明显。
【Abstract】 Based on the chaos control over extrinsic information (the apriority) and taking the distance of the extrinsic information between two decoders as the criterion, a new improved algorithm is presented in view of the Turbo code’s uncertainty of the iterations. The algorithm adaptively adjusts the iteration number without decreasing the performance. Simulation results show that the method works well, especially at high SNR, and can reduce the complexity of the decoding process and increase the decoding speed.
【基金】 国家自然科学基金(60072048);国家教委博士点基金(20010561007)资助课题
- 【文献出处】 系统工程与电子技术 ,Systems Engineering and Electronics , 编辑部邮箱 ,2005年05期
- 【分类号】TN911.22
- 【下载频次】87