基于最大条件熵的射频隐身数据链猝发通信模型

doi:10.7527/S1000-6893.2013.0489

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基于最大条件熵的射频隐身数据链猝发通信模型

杨宇晓^1,2, 周建江², 陈军², 莫乾坤³

1. 南京航空航天大学高新技术研究院, 江苏南京 210016;
2. 南京航空航天大学电子信息工程学院, 江苏南京 210016;
3. 上海微小卫星工程中心, 上海 201203

收稿日期:2013-07-22 修回日期:2013-12-11 出版日期:2014-05-25 发布日期:2013-12-14
通讯作者: 周建江，Tel.：025-84892838 E-mail：zjjee@nuaa.edu.cn E-mail:zjjee@nuaa.edu.cn
作者简介:杨宇晓男，博士研究生，助理研究员。主要研究方向：射频隐身技术、卫星通信等。Tel：025-84896859E-mail：yyx_nuaa@163.com；周建江男，博士，教授，博士生导师。主要研究方向：射频隐身技术、雷达目标识别、阵列信号处理等。Tel：025-84892838E-mail：zjjee@nuaa.edu.cn；陈军男，博士研究生。主要研究方向：射频隐身技术、雷达信号处理等。E-mail：15150551283@163.com；莫乾坤男，硕士研究生。主要研究方向：软件无线电、卫星测控通信等。E-mail：moqiankun@163.com
基金资助:
国家自然科学基金（61371170）；航空科学基金（20130152002）；中央高校基本科研业务费专项资金；江苏省普通高校研究生科研创新计划（CXZZ11_0212）

Burst Communication Datalink Model for Radio Frequency Stealth Based on Conditional Maximum Entropy

YANG Yuxiao^1,2, ZHOU Jianjiang², CHEN Jun², MO Qiankun³

1. Academy of Frontier Sciences, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
3. Shanghai Engineering Center for Microsatellites, Shanghai 201203, China

Received:2013-07-22 Revised:2013-12-11 Online:2014-05-25 Published:2013-12-14
Supported by:
National Natural Science Foundation of China (61371170); Aeronautical Science Foundation of China (20130152002);The Fundamental Research Funds for the Central Universities; Funding of Jiangsu Innovation Program for Graduate Education (CXZZ11_0212)

摘要/Abstract

摘要：

为提高数据链的低被截获性能，以数据链发射时刻的不确定性为对象，提出了一种基于最大条件熵的射频隐身数据链猝发通信模型。该模型以先验数据为训练样本空间，以拉格朗日乘子为优化粒子，将最大条件熵的对偶规划问题作为目标，利用混合混沌粒子群优化（HCPSO）算法进行优化计算，最终确定最大条件熵概率分布模型。与单阈值方法（STM）和双阈值方法（DTM）的对比仿真结果表明：利用最大熵方法（MEM）自适应生成的发射规划，不仅具有最大的发射时刻条件熵，射频隐身性能最好，而且MEM的通信总时间、通信占空比也最大，对环境约束特征的适应性最好，因此，MEM具有最优的综合性能。

关键词: 隐身技术, 最大熵, 猝发通信, 数据链, 混合混沌粒子群优化算法

Abstract:

In order to improve the low intercept performance of a datalink, a burst communication datalink model based on conditional maximum entropy is proposed in this paper. In this model, the prior datas are used as the training sample space, and lagrange multipliers are selected as optimized variables. Hybrid chaotic particle swarm optimization (HCPSO) algorithm is used for the optimization of the model, and the HCPSO takes the dual programming of the conditional maximum entropy as its objective function, and ultimately determines the conditional maximum entropy probability distribution model. Compared with the single threshold method (STM) and double threshold method (DTM), the simulation results show that the proposed maximum entropy method (MEM) can not only effectively increase the uncertainty of the transmitting moment, but also ensures longer effective communication time and better environment adaptability. Therefore, MEM demonstrates better comprehensive performance than both STM and DTM.

Key words: stealth technology, maximum entropy, burst communication, datalink, hybrid chaotic particle swarm optimization algorithm

中图分类号:

杨宇晓, 周建江, 陈军, 莫乾坤. 基于最大条件熵的射频隐身数据链猝发通信模型[J]. 航空学报, 2014, 35(5): 1385-1393.

YANG Yuxiao, ZHOU Jianjiang, CHEN Jun, MO Qiankun. Burst Communication Datalink Model for Radio Frequency Stealth Based on Conditional Maximum Entropy[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014, 35(5): 1385-1393.

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于最大条件熵的射频隐身数据链猝发通信模型

Burst Communication Datalink Model for Radio Frequency Stealth Based on Conditional Maximum Entropy

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