A method for blind identification of rate 1/2 convolutional code based on improved Euclidean algorithm

Hui Xie, Xian-ming Chai, Fenghua Wang, Zhitao Huang
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引用次数: 9

Abstract

In order to adapt the characteristic that the intercepted code sequence is not complete, the polynomial model in [6] has been amended. Based on the model, a scheme is proposed to improve the capability of classical Euclidean algorithm, and a new method for blind identification of rate 1/2 convolutional code is proposed. The validity of algorithm is verified by the simulation results, and it has less computational load compared to the references.
基于改进欧几里得算法的1/2卷积码盲识别方法
为了适应截获码序列不完整的特点,对[6]中的多项式模型进行了修正。在此基础上,提出了一种改进经典欧氏算法性能的方案,并提出了一种率为1/2卷积码的盲识别新方法。仿真结果验证了算法的有效性,与文献相比,该算法的计算量较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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