基于反饋控制的分布式安全波束成型算法研究
本文關(guān)鍵詞: 物理層安全 分布式安全波束成型 人造噪聲 單比特反饋 出處:《深圳大學》2017年碩士論文 論文類型:學位論文
【摘要】:近些年來,物理層安全技術(shù)受到廣泛關(guān)注與研究,是未來通信系統(tǒng)中的關(guān)鍵技術(shù)之一。其基本思想是利用合法接收端較竊聽端有更好的信號接收質(zhì)量(如:信噪比),來實現(xiàn)安全通信。另外,傳統(tǒng)的分布式波束成型技術(shù)經(jīng)過多年的發(fā)展,已日趨成熟,但是針對安全通信的分布式波束成型技術(shù)仍是一個挑戰(zhàn)。本學位論文主要研究基于物理層安全技術(shù)的分布式波束成型問題。在物理層安全技術(shù)研究的最新進展中,基于衰落竊聽信道的研究成為熱點。在這些研究中,絕大部分需要利用合法接收端將信道信息反饋給發(fā)射端。在實際應(yīng)用中,發(fā)射端要獲得準確的實時信道信息往往是十分困難的,這使得現(xiàn)有的物理層安全技術(shù)在實際應(yīng)用中受到了很大限制。而引入誤差的原因主要分為三大類:第一類、估計誤差;第二類、延時;第三類、反饋鏈路容量受限。本學位論文提出了基于單比特反饋信息的分布式安全波束成型系統(tǒng)。在新系統(tǒng)中,合法接收端除了反饋單比特控制信息外,不需要反饋其它任何形式的信道信息,只需要較少的網(wǎng)絡(luò)資源就能使得系統(tǒng)的安全容量得到提升;谛孪到y(tǒng),本學位論文設(shè)計出一個與之對應(yīng)的分布式安全波束成型算法,稱為分布式相位失配安全波束成型算法。新算法的優(yōu)勢如下:第一、利用合法接收端反饋的單比特信息來控制每個分布式發(fā)射節(jié)點發(fā)射人造噪聲的相位,并通過連續(xù)負反饋與累加正反饋機制來提升算法的收斂速度,具有很高的實際應(yīng)用價值;第二、新算法在分布式發(fā)射節(jié)點與合法收發(fā)端都引入了人造噪聲,即使在竊聽端裝備多天線時,新算法仍可以干擾竊聽端對信道方向信息的估計準確度,使得系統(tǒng)的安全容量得到進一步提升;第三、當通信環(huán)境存在信道漂移時,由于累加正反饋機制的作用,新算法可以追蹤信道漂移,使得新算法在復(fù)雜通信環(huán)境中仍能實現(xiàn)分布式安全通信。最后,新算法在其參數(shù)選取上具有較好的魯棒性。通過大量的仿真實驗,本學位論文通過仿真實驗對新算法進行了深入研究,證明了其有效性與優(yōu)越性。
[Abstract]:In recent years, physical layer security technology has received extensive attention and research. It is one of the key technologies in the future communication system. Its basic idea is that the legitimate receiver has better signal reception quality than the eavesdropping terminal, such as signal-to-noise ratio (SNR), to achieve secure communication. The traditional distributed beamforming technology has become more and more mature after years of development. But the distributed beamforming technology for secure communication is still a challenge. This dissertation focuses on distributed beamforming based on physical layer security technology. . The research based on fading eavesdropping channel has become a hot topic. In these studies, most of them need to use the legitimate receiver to feedback the channel information to the transmitter. It is very difficult for the transmitter to obtain accurate real-time channel information. As a result, the existing physical layer security technology has been greatly restricted in practical application. The reasons for introducing errors are divided into three categories: first, estimation error; Second, delay; Third, the feedback link capacity is limited. In this dissertation, a distributed secure beamforming system based on single bit feedback information is proposed. In the new system, the legitimate receiver only feedback the single bit control information. There is no need to feedback any other form of channel information, only a small amount of network resources can improve the security capacity of the system based on the new system. This dissertation designs a corresponding distributed secure beamforming algorithm called distributed phase mismatch secure beamforming algorithm. The advantages of the new algorithm are as follows: first. The phase of artificial noise emitted by each distributed transmitting node is controlled by using the single bit information feedback from the legal receiver, and the convergence rate of the algorithm is improved by continuous negative feedback and cumulative positive feedback. It has high practical application value; Second, the new algorithm introduces artificial noise in both the distributed transmitting node and the legal transceiver. Even when the eavesdropping terminal is equipped with multiple antennas, the new algorithm can still interfere with the estimation accuracy of the channel direction information of the eavesdropping terminal. The security capacity of the system is further enhanced; Third, when the channel drift exists in the communication environment, the new algorithm can track the channel drift because of the effect of the cumulative positive feedback mechanism, so that the new algorithm can still achieve distributed security communication in the complex communication environment. The new algorithm has good robustness in the selection of its parameters. Through a large number of simulation experiments, this thesis makes a deep research on the new algorithm through simulation experiments, and proves its effectiveness and superiority.
【學位授予單位】:深圳大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TN918
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