基于博弈論的無(wú)線通信抗干擾關(guān)鍵技術(shù)研究
發(fā)布時(shí)間:2018-02-21 20:31
本文關(guān)鍵詞: 干擾效果評(píng)估 功率控制 博弈論 效用函數(shù) 納什均衡 出處:《電子科技大學(xué)》2014年碩士論文 論文類型:學(xué)位論文
【摘要】:隨著無(wú)線通信的快速發(fā)展,干擾逐漸成為抑制通信性能提高的一個(gè)重要因素,如何降低和消除無(wú)線通信中的干擾成了人們?nèi)找骊P(guān)注的問題。從干擾的主觀性可以將其分為無(wú)意干擾和惡意干擾,無(wú)意干擾指的是在民用通信中,用戶為了競(jìng)爭(zhēng)有限的頻譜資源而對(duì)其它用戶造成的干擾,在分布式通信系統(tǒng)中,用戶可以自主決策而無(wú)需設(shè)置中心控制臺(tái),簡(jiǎn)化了系統(tǒng)結(jié)構(gòu),減少了占用信道的開銷,此時(shí)采用博弈論分析每個(gè)理性用戶的行為,根據(jù)效用函數(shù)得出博弈均衡解,最大化用戶效用值的同時(shí)抑制用戶間的相互干擾。惡意干擾主要出現(xiàn)在軍事通信的電子對(duì)抗中,由于敵方的敵意干擾,特別是在攔截,監(jiān)聽及對(duì)抗等環(huán)境中,通信被中斷的概率增加,對(duì)敵方干擾效果的動(dòng)態(tài)評(píng)估將直接決定己方通信抗干擾技術(shù)的策略選擇、最終性能與代價(jià)。干擾對(duì)抗和通信抗干擾是敵我雙方的干擾策略和抗干擾策略的較量,其實(shí)質(zhì)是一種博弈的過程。博弈論作為研究相互影響的決策選擇的理論,它不僅僅是在已知對(duì)方行動(dòng)時(shí),根據(jù)對(duì)方的決策而采取相應(yīng)的策略,更重要的是可以在未知對(duì)方行動(dòng)信息時(shí)對(duì)整個(gè)決策過程進(jìn)行預(yù)判和分析,選擇使得自身利益最大化的策略。因此可以使用博弈論對(duì)干擾對(duì)抗效果評(píng)估進(jìn)行分析,從而得到最優(yōu)的干擾對(duì)抗策略組合。本文主要分為六個(gè)部分。第二章概述了博弈論的基本概念和定義,博弈類型分類并重點(diǎn)給出了用于干擾對(duì)抗效果評(píng)估的非合作完全信息博弈模型及納什均衡值求解過程。在第三章中,對(duì)分布式通信系統(tǒng)中的功率控制問題利用博弈理論進(jìn)行了研究,首先采用非合作博弈,分別分析了在以用戶容量和能效比為效用函數(shù)的情況下,用戶的功率控制問題,此時(shí)得到的納什均衡解雖然是用戶效用值最大化的穩(wěn)定點(diǎn),但其性能不是全局最優(yōu),相對(duì)于性能上界有較大差距。為了提高用戶性能,引入了代價(jià)函數(shù)和重復(fù)博弈兩種方法對(duì)非合作博弈進(jìn)行性能改進(jìn),同時(shí)降低了用戶間干擾。接下來采用合作博弈對(duì)功率控制問題進(jìn)行分析,分別考慮納什議價(jià)博弈和K-S議價(jià)博弈模型下用戶的策略選擇,得到了相應(yīng)的議價(jià)均衡解,具有帕累托特性,后者關(guān)注弱勢(shì)用戶,提高了系統(tǒng)中最小性能值用戶的數(shù)值,減小了用戶間的性能差距,使得整個(gè)系統(tǒng)更具有公平性。博弈理論為分布式通信系統(tǒng)中用戶的資源分配提供了一個(gè)非常有效的分析方法和行為準(zhǔn)則。第四章中主要研究了非合作博弈在干擾對(duì)抗效果評(píng)估中的應(yīng)用。首先概述了干擾對(duì)抗技術(shù)的研究現(xiàn)狀,通過對(duì)干擾對(duì)抗通信模型并對(duì)對(duì)抗問題的描述,構(gòu)建干擾效果評(píng)估非合作零和博弈和算法設(shè)計(jì),最后對(duì)干擾對(duì)抗策略和效用函數(shù)進(jìn)行了分析,選取了誤碼率作為效用函數(shù),并給出了不同干擾對(duì)抗中的誤碼率公式,對(duì)抗雙方根據(jù)誤碼率效用值,得出納什均衡解。依據(jù)上述理論依據(jù),本文提出:可以根據(jù)博弈論分析得出的干擾對(duì)抗效果評(píng)估的結(jié)果進(jìn)行通信抗干擾策略選擇,使得抗干擾和干擾效果最優(yōu)化。更進(jìn)一步,決策者根據(jù)博弈均衡結(jié)果進(jìn)行再次判斷,如果最優(yōu)的抗干擾效果不能滿足通信要求則通信方選擇無(wú)線電靜默,同理,如果最優(yōu)干擾效果依然不能干擾正常通信,則干擾方出于節(jié)省功率考慮,將選擇不再干擾。這將可分別應(yīng)用于干擾機(jī)設(shè)計(jì)與通信抗干擾技術(shù)的設(shè)計(jì)。第五章是基于非合作博弈的干擾對(duì)抗效果評(píng)估性能的仿真分析,首先對(duì)不同干擾環(huán)境的誤碼率性能仿真分析,通過仿真得出的數(shù)值,構(gòu)建了多個(gè)干擾場(chǎng)景中通信方和干擾方的效用值矩陣,求出相應(yīng)的納什均衡解,當(dāng)純策略納什均衡解不存在時(shí)求解混合策略納什均衡解。結(jié)果表明,利用博弈論的最優(yōu)策略作為指導(dǎo),對(duì)于不同的干擾技術(shù),通信方可選擇最優(yōu)的均衡傳輸技術(shù)。
[Abstract]:With the rapid development of wireless communication, interference has gradually become an important factor to improve the performance of suppressing the communication, how to reduce and eliminate interference in wireless communication has become a growing concern. Interference from subjectivity can be divided into unintentional interference and malicious interference, no meaning interference refers to the interference in civil communication. Users in order to compete for the limited spectrum resources to other users in the distributed communication system, users can make their own decisions without setting the center console, simplifies the system structure, reduces the channel overhead, the use of game theory analysis the rational behavior of users, according to the utility function that equilibrium solutions, while suppressing the interference between users to maximize user utility value. Malicious interference occurs mainly in electronic warfare of military communication, due to the hostile jamming enemy, especially In the interception, monitoring and countermeasure environment, increase the probability of communication is interrupted, the dynamic assessment of enemy interference effect will directly determine the selection strategy of one's own communication anti-jamming technology, performance and cost. The final confrontation and interference in anti jamming communication jamming strategy is the struggle between the two sides and anti jamming strategy of the contest, its essence is the process a game. Game theory is to study the interaction of decision theory, it is not only known each other in action, and take corresponding strategies according to their decision, it is more important in the action of information unknown to each other when the decision-making process of pre judgment and analysis, choose to maximize their own interests the strategy. So it can be used to assess the effect of interference against the game theory analysis, in order to get the optimal strategy combination jamming. This paper is mainly divided into six parts. The second chapter overview The basic concept and definition of game theory, game type classification and focuses on the evaluation of jamming effect for the non cooperative game of complete information model and the Nash equilibrium solution. In the third chapter, the power control problem in distributed communication system based on game theory is studied, using non cooperative game, respectively. In the analysis of user capacity and energy efficiency ratio for the utility function, the power control problem of the user, the Nash equilibrium solution is obtained while the user utility value stable point maximum, but its performance is not globally optimal, relative to the upper bound of the performance gap. In order to improve user performance, introduces the cost function and repeated game two methods on the performance of non cooperative game improvement, while reducing the interference between users. Then using cooperative game theory to analyse the power control problem, respectively. Consider the Nash bargaining game and K-S bargaining game model under the user's strategy, obtained the corresponding bargaining equilibrium solution, with Pareto characteristics, the latter focus on vulnerable users, improve the system performance in the minimum number of user value, reduce the performance gap between users, makes the whole system more fairness. Provides a very effective analysis methods and standards of behavior game theory of the allocation of resources for users in distributed communication system. The fourth chapter mainly studies the non cooperative game in the application of jamming effect evaluation. Firstly summarizes the research status of the anti interference technology, through the communication model of interference and to fight against the problem description, construction evaluation cooperation of zero sum game and algorithm design of jamming effect, finally jamming strategy and utility function are analyzed, select the BER as utility function, and gives the The error rate of different jamming against both sides according to the bit error rate formula, the utility value, the Nash equilibrium solution. Based on the above theoretical basis, this paper put forward: Communication anti jamming strategy selection can be evaluated against the interference effect according to the game theory analysis results, optimization of the anti jamming and interference effect. Further, decision makers again according to the judgment results of the game, if the optimal interference effect cannot meet the communication requirements of the communication side of radio silence, similarly, if the optimal jamming effect is still not normal communication interference, interference for saving power, will choose not to interfere. This will be used to design the design of communication jamming resistance interference technology. The fifth chapter is the analysis of interference simulation based on non cooperative game against the effect of performance evaluation, the first error of different interference environment Performance simulation analysis, obtained by numerical simulation, build communication and interfering multiple interference scenarios in utility value matrix, calculate the corresponding Nash equilibrium solution, when the pure strategy Nash equilibrium does not exist when solving Nash equilibrium mixed strategy solution. The results show that the optimal strategy by using game theory as a guide. For different interference, balanced transmission technology can choose the optimal communication.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN92
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 袁飛;文志信;王松松;;美軍EHF衛(wèi)星通信系統(tǒng)[J];國(guó)防科技;2010年06期
,本文編號(hào):1522806
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