电子学报2018，Vol.46Issue(6)：1454-1460,7.DOI:10.3969/j.issn.0372-2112.2018.06.026
基于软信息的分组交织和卷积码联合识别
Joint Blind Recognition of Packet Interleaver and Convolution Code Based on Soft Information
摘要
Abstract
A blind recognition method of channel coding based on soft information was proposed for packet interlea-ver 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.关键词
非合作数字通信系统/分组交织/卷积码/盲识别/软信息/信道编码Key words
non-cooperative digital communication system/packet interleaver/convolution code/blind recognition/soft information/channel coding分类
信息技术与安全科学引用本文复制引用
陈泽亮,巩克现,彭华,于沛东..基于软信息的分组交织和卷积码联合识别[J].电子学报,2018,46(6):1454-1460,7.基金项目
国家自然科学基金(No.61401511) （No.61401511）
