基于博弈论的雷达抗干扰评估研究

发布时间：2018-01-16 00:06

本文关键词：基于博弈论的雷达抗干扰评估研究　出处：《南昌航空大学》2014年硕士论文　论文类型：学位论文

【摘要】：雷达（Radar）作为电子战中的一员，好比战场中的千里眼，得到广泛应用，不断涌现各种新体制和新技术，但因其原理性的特点易被限制和针对，因此对于雷达抗干扰能力的评估具有十分重要的意义。同时，雷达抗干扰和干扰机干扰之间互相博弈，其中既有复杂的技术因素，也含有大量的人为因素，因此有必要利用博弈论的相关理论对这些因素进行分析。本文研究的核心问题是博弈论在雷达抗干扰能力评估中的应用研究。论文的主要工作如下： 1.介绍了本文的研究背景、意义，以及博弈论在雷达抗干扰性能评估中应用研究动态。 2.从不同角度深入分析雷达抗干扰评估问题，初步探讨了博弈论应用到雷达抗干扰评估中的可行性。 3.结合雷达对抗问题的特点介绍了博弈论的相关理论，包括构成博弈的基本要素、二人有限零和博弈、信号博弈的时序及求解方法以及旨在讨论竞争关系的博弈集结模型。 4.雷达对抗实际上不仅仅是一个非完全信息动态博弈的过程，而且满足信号博弈的要求，本文独创性地将信号博弈分析模型引入到雷达对抗问题的研究中，用来研究这一问题中存在的各种复杂的技术因素和人为因素。在此基础上进行了基本假设，分别讨论了干扰机、雷达依存的子博弈精炼贝叶斯均衡战略，得到了干扰机、雷达在不同情况下的混同均衡和分离均衡，最后以雷达烧穿距离作为支付函数，，模拟真实对抗中双方互相博弈的行为战略，验证了这一模型的正确性，并且指出了在实际工程应用研究中需要注意的问题。 5.将基于博弈论和灰色关联分析的评估方法引入到雷达抗干扰能力的综合评估上，分析了影响雷达抗干扰能力的因素，在此基础上建立了雷达抗干扰能力评估指标体系。单一方法确定指标权重存在片面性，将权重组合起来考虑可一定程度上克服这一缺陷，引入博弈集结模型的思想相对传统的线性组合方法，显然更加科学合理。权重确定之后，结合雷达抗干扰能力评估的特性建立了改进的灰色关联分析决策模型，最后利用实例对不同雷达的抗干扰能力进行了综合评估。
[Abstract]:As a member of electronic warfare, radar radar has been widely used in battlefield, and many new systems and technologies have been emerging, but it is easy to be restricted and targeted because of its characteristics of principle. Therefore, the evaluation of radar anti-jamming capability is of great significance. At the same time, there are complex technical factors and a large number of human factors in the game between radar anti-jamming and jammer jamming. Therefore, it is necessary to use the relevant theory of game theory to analyze these factors. The core problem of this paper is the application of game theory in radar anti-jamming capability evaluation. The main work of this paper is as follows: 1. The research background, significance and application of game theory in radar anti-jamming performance evaluation are introduced. 2. The problem of radar anti-jamming evaluation is analyzed from different angles, and the feasibility of applying game theory to radar anti-jamming evaluation is discussed. 3. Combined with the characteristics of radar countermeasures, the paper introduces the relevant theories of game theory, including the basic elements of game, the two-person finite zero sum game. The time series and solution method of signal game and the game aggregation model to discuss the relation of competition. 4. Radar countermeasure is not only a process of incomplete information dynamic game, but also meets the requirement of signal game. In this paper, the signal game analysis model is introduced into the research of radar countermeasure problem. It is used to study various complicated technical factors and human factors in this problem. Based on the basic assumptions, the sub-game refined Bayesian equalization strategy of jammer and radar is discussed respectively. The mixed equalization and separation equalization of the jammer and radar in different situations are obtained. Finally, the radar firing distance is taken as the payment function to simulate the behavior strategy of the game between the two sides in the real confrontation. The correctness of the model is verified and the problems needing attention in practical engineering application research are pointed out. 5. The evaluation method based on game theory and grey correlation analysis is introduced to the comprehensive evaluation of radar anti-jamming ability, and the factors influencing radar anti-jamming capability are analyzed. On this basis, the evaluation index system of radar anti-jamming capability is established. There is one-sidedness in determining the index weight by a single method, which can be overcome to a certain extent by combining the weight. The idea of game aggregation model is more scientific and reasonable than the traditional linear combination method. After the weight is determined, an improved grey correlation analysis decision model is established based on the characteristics of radar anti-jamming capability evaluation. Finally, the anti-jamming ability of different radars is evaluated by an example.
【学位授予单位】：南昌航空大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN974

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