吉林大学学报(信息科学版) ›› 2020, Vol. 38 ›› Issue (6): 662-668.

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基于信息保真度的最优信息传输

  

  1. 吉林省军区 数据信息室, 长春 130033
  • 收稿日期:2020-05-12 出版日期:2020-11-24 发布日期:2020-12-14
  • 作者简介:马 卓 ( 1982— ), 女, 吉 林 四 平 人, 吉 林 省 军 区 工 程 师, 主 要 从 事 通 信 设 备 管 理 研 究, ( Tel ) 86-13578690788(E-mail)musicfanshall@ 126. com

Information Fidelity Based Optimal Information Transfe

  1. Department of Data and Information, Jilin Military Area Command, Changchun 130033, China
  • Received:2020-05-12 Online:2020-11-24 Published:2020-12-14

摘要: 为度量信息被信道噪声干扰后的可恢复程度, 提出基于互信息的信息保真度概念, 并揭示保真度与互信息以及信息恢复方法误差概率之间的内在联系。 理论分析表明, 信道最大信息保真度能反映最优传输消息分布, 在此基础上把最优传输消息分布的求取转化为信息保真度极值问题, 并研究基于最大化信息保真度的最优信息传输。 以二元无记忆信道为例, 对其进行理论和数值分析, 并验证了最大保真度与信道容量以及最优传输消息分布之间的关系。 结果表明, 对较为复杂的信道模型, 基于信息保真度的最优化计算比信道容量的计算更为简洁。

关键词: 信息传输, 信息保真度, 互信息, 信道容量, 最优化问题

Abstract: To quantify the degree of the information recoverability in the noisy channels, a concept of information fidelity is proposed. We reveal the intrinsic relationship between the information fidelity and the mutual information, and also recover the relationship between the information fidelity and the error probability of the information recovery methods. The theoretical analysis indicates that the maximum information fidelity can be used to characterize the optimal distribution of the transferred messages. Due to this characterization, we present the optimal information transfer problem based on the maximization of the information fidelity. Through the case of binary memoryless channel, we demonstrate the relationships among the maximum information fidelity, the channel capacity, and the optimal distribution of the transferred messages. The theoretical and numerical results imply that the calculation on the maximum information fidelity can be simpler than that on the channel capacity.

Key words: information transfer, information fidelity, mutual information, channel capacity, optimization problem

中图分类号: 

  • TN918