误码条件下卷积码分组交织的识别

Identification of Block Interleaving and Convolutional Codes under Conditions of BER

分析了矩阵分析法识别无误码条件下卷积码分组交织的过程,针对实际信道中误码不可避免的现状,在矩阵分析法的基础上,提出了反向纠错思想,利用该思想实现了高误码条件下卷积码分组交织的识别。反向纠错思想的思路是利用穷举方法穷举条件限定范围内所有可能的纠错编码和交织关系组合,利用每种组合对应的解交织和译码方法对截获序列进行处理,最后将每种组合的处理结果与截获序列比较,找出最有可能的组合作为最终识别结果。

This paper analyzes the identified process of matrix analysis which is used for the identification of block interleaving and convolu donal codes under the conditions of error-free code. However, in actual channel, the error codes are inevitable. This paper proposed a reverse thinking of correction based on the matrix analysis and identified the convolutional codes and block interleaving using it under the conditions of a high BER. The method of the reverse thinking of correction lists all kinds of combination of error-correcting codes and interweaved relationship. We process the capture sequence in the method of deinterleaving and decoding corresponding to each combination. In the decoding process, the error has been corrected. Finally, the results for each combination of sequence is compared with capture sequence, and the right combination will be found.