基于软信息的分组交织和卷积码联合识别

针对非合作数字通信系统中分组交织和卷积码的盲识别问题，提出了一种基于软信息的信道编码识别方法.该方法利用软信息建立了符合度的概念，首先利用采样序列的总符合度实现交织行数和卷积码校验向量的识别；然后通过每路采样序列平均符合度的变化规律实现交织起点行坐标的识别；最后根据解交织后数据的符合度实现交织列数和交织起点列坐标的识别.仿真结果表明，本文算法能在较高误码率下实现分组交织和卷积码的盲识别，与硬判决算法相比，达到较高正确率时，本文算法具有约5dB的信噪比增益.

Joint Blind Recognition of Packet Interleaver and Convolution Code Based on Soft Information

A blind recognition method of channel coding based on soft information was proposed for packet interleaver and convolution code in a non-cooperative digital communication system.The method builds conformity degree concept using the soft information.It identifies the row number of interleaving matrix and the parity-check vector of convolution code by using the total conformity degree of the sample sequence.And the row coordinate of starting point is identified by the change rule of average conformity degree of each sampling sequence.Finally,the column number of interleaving matrix and the column coordinate of starting point are recognized according to the conformity degree of de-interleaved data.Simulation results show that the proposed method provides an optimal performance in the noisy environment,and has 5dB SNR gain when achieving the relatively high accuracy compared with the recognition algorithm based on hard information.