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自然冗余译码下的帧定界与协议识别联合处理方法

YU Guoxian RAN Xiaomin YU Hongyi SHEN Zhixiang JU Yixiang

信息工程大学学报2025,Vol.26Issue(6):631-638,651,9.
信息工程大学学报2025,Vol.26Issue(6):631-638,651,9.DOI:10.3969/j.issn.1671-0673.2025.06.001

自然冗余译码下的帧定界与协议识别联合处理方法

Joint Processing Method for Frame Delineation and Protocol Identification Based on Natural Redundancy Decoding

YU Guoxian 1RAN Xiaomin 1YU Hongyi 1SHEN Zhixiang 1JU Yixiang1

作者信息

  • 1. Information Engineering University,Zhengzhou 450001,China
  • 折叠

摘要

Abstract

To address the suboptimality and error propagation issues of traditional cascaded processing in protocol fault-tolerant reception under high bit error rates,a cross-layer fault-tolerant joint estima-tion method for link-layer frame delineation and network-layer protocol identification is proposed.By exploiting the natural redundancy of data packet length common to both frame delineation and protocol identification,a unified joint natural redundancy decoding model is established,and the theoretically optimal solution is derived based on the MAP criterion.To reduce computational complexity,a fast al-gorithm based on the top-k criterion is designed according to the principle of maximizing potential like-lihood,effectively controlling the search space.Simulation results on common satellite protocol stacks and public datasets show that,when the bit error rate is 0.1,compared with those of the traditional scheme,the frame delimitation error is reduced by approximately 30%,and the protocol identification error rate is reduced by nearly an order of magnitude through the proposed method,significantly en-hancing fault-tolerant recovery capability of the the system under high error rates environments with ac-ceptable computational overhead.

关键词

容错估计/自然冗余/跨层联合/路径搜索/最大似然准则

Key words

fault-tolerant estimation/natural redundancy/cross-layer joint/path search/maximum likelihood criterion

分类

信息技术与安全科学

引用本文复制引用

YU Guoxian,RAN Xiaomin,YU Hongyi,SHEN Zhixiang,JU Yixiang..自然冗余译码下的帧定界与协议识别联合处理方法[J].信息工程大学学报,2025,26(6):631-638,651,9.

基金项目

国家自然科学基金(61501517) (61501517)

信息工程大学学报

1671-0673

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