Turbo编码类型的盲识别方法

Blind identification for the type of Turbo code

提出一种有效的识别方法,解决了Turbo编码类型的盲识别问题。首先,在理论分析Turbo码固有结构的基础上,通过特定的拆分和组合方式从Turbo编码序列中获取一路递归系统卷积码,和二路线性分组码,从而根据此特性利用秩统计的方法实现Turbo码的判别;然后对递归系统卷积码输出数据进行差分运算,推导出差分后结果仅与寄存器中存放的数据有关,因此通过一阶累积量的方法可以准确获取归零状态的位置,从而实现对Turbo码的归零特性判别。仿真结果表明:该方法能够实现对Turbo编码类型的识别,且具有较好的容错性能,最后也验证了该方法在较高误码条件下具有较好的识别效果。

An effective approach of type identification of turbo code is proposed in this paper. Because of the specific structure of the turbo code, a recursive systematic convolutional code and two linear block codes can be obtained by a particular way of splitting and combining from the turbo coding sequences. Therefore, the turbo code is detemined that uses the method of rank statistic from unknow channel codes based on this feature. Then, the output data of the reeursive systematic convolutional code is differential operation. Since the computing result only related with storing data of the register, the position of trilles termination state of turbo code on trellis termination can be caculated accu- rately by a first-order cumulant method. Through this way, turbo code on trellis termination and turbo code with trel- lis termination can be distingushed. The simulation experiment show the correctable results of this recognition method and the approch has better error-tolerance. Consequently, under the case of high BER, this paper also proves that this recognition method holds good performance.