一种k/n卷积码参数盲估计的鲁棒性方法

A Robust Method for Blind Parameter Estimation of k/n Rate Convolutional Encoder

针对信道编码参数的盲估计问题,提出了一种k/n卷积码参数盲估计的鲁棒性方法.首先,将卷积码的参数估计问题转换为求解二元域上线性方程组的问题,然后,应用Walsh-Hadamard变换对该问题求解,设计了卷积码编码参数的估计算法,并对算法中的门限选取进行了分析.仿真实验表明,相较于现有的算法,本文提出的方法具有更好的抗噪性能,在信道传输的错误率小于等于0.07时,本文方法对不同编码器参数的识别正确率均达到了95%以上.

A robust method for blind parameter estimation of k/nconvolutional encoders was proposed for blind estimation of channel coding parameters.Firstly,the parameter estimation for convolutional encoders was formulated as the problem of solving linear equations over GF（2）.Secondly,the WalshHadamard transformation was used to solve these linear equations.An algorithm for the estimation was proposed of the coding parameters for the convolutional encoder.Moreover,the analysis for the threshold setting was provided in the proposed algorithm.The simulations show that the proposed method has better anti-noise performance than the existing algorithms.Especially,the correct rate of parameter estimation for the proposed method is more than 95%for different encoders when the bit error rate of the channel transmission is less than or equal to 0.07.