本文選題：無線通信 + 物理層安全�。� 參考：《南京郵電大學(xué)》2017年碩士論文

【摘要】：隨著計(jì)算機(jī)技術(shù)的快速發(fā)展,以密碼學(xué)為基礎(chǔ)的上層加密技術(shù)面臨嚴(yán)峻的挑戰(zhàn)。為了確保無線通信系統(tǒng)中傳輸信息的安全性能,物理層安全成為信息安全領(lǐng)域一個(gè)新的研究熱點(diǎn)。人工噪聲輔助的物理層安全通信技術(shù)是利用多天線收發(fā)增加無線通信信息傳輸過程中的安全性能的經(jīng)典方法,該技術(shù)通過在期望信道的零空間發(fā)射人工噪聲來降低竊聽信道的信道容量,從而提高系統(tǒng)的安全信道容量來確保無線通信信息在物理層中的安全性能�，F(xiàn)有的研究文獻(xiàn)從不同的方面詳細(xì)論述了人工噪聲輔助物理層安全通信系統(tǒng)這一技術(shù)的性能,如通信信號(hào)與人工噪聲信號(hào)的功率分配問題、收發(fā)天線數(shù)目問題以及協(xié)作方式的人工噪聲輔助方式等。但現(xiàn)有的研究忽略了人工噪聲輔助的物理層安全通信系統(tǒng)中發(fā)射信號(hào)高峰均比的特性,本文針對(duì)這個(gè)問題展開做出了如下三個(gè)方面的研究:(1)現(xiàn)有的人工噪聲輔助的物理層安全通信系統(tǒng)的研究都是在發(fā)射系統(tǒng)放大器門限無窮大的理想情況下研究系統(tǒng)的安全信道容量,本文從實(shí)際系統(tǒng)放大器存在門限的角度分析了人工噪聲輔助物理層安全通信信號(hào)峰均比的互補(bǔ)累積分布以及放大器門限對(duì)于系統(tǒng)安全信道容量的影響,從而說明系統(tǒng)降低發(fā)射信號(hào)峰均比特性的必要性。(2)本文提出了一種基于噪聲子空間旋轉(zhuǎn)不變性的發(fā)射信號(hào)峰均比降低算法,利用發(fā)射機(jī)產(chǎn)生的噪聲子空間旋轉(zhuǎn)不影響噪聲子空間與期望信道零空間的正交性和對(duì)竊聽接收機(jī)干擾性能這一特性來降低發(fā)射信號(hào)的峰均比,并且基于差分遺傳算法求解出不同噪聲子空間對(duì)應(yīng)的旋轉(zhuǎn)角度的最優(yōu)解。但算法搜索的維度隨著發(fā)射天線數(shù)的增加而增加,發(fā)射機(jī)計(jì)算負(fù)擔(dān)急劇增加。為了降低算法的復(fù)雜度方便系統(tǒng)的工程實(shí)現(xiàn),本文同時(shí)給出了一種基于部分旋轉(zhuǎn)角度的次優(yōu)算法,利用有限的角度集合減低發(fā)射信號(hào)的峰均比特性。(3)現(xiàn)有的方向調(diào)制信號(hào)噪聲子空間功率分配都是等功率分配的,改變不同噪聲子空間的功率分配有利于降低發(fā)射信號(hào)的峰均比特性。本文提出了一種基于凸優(yōu)化算法的噪聲子空間功率分配發(fā)射信號(hào)峰均比降低算法。首先建立以最小化峰均比為目標(biāo)函數(shù)噪聲子空間功率分配系數(shù)為可行域的非凸優(yōu)化問題;針對(duì)該凸優(yōu)化問題,我們通過分式規(guī)劃,DC規(guī)劃等數(shù)學(xué)方法將其轉(zhuǎn)化為求解一系列的凸的子問題,從而逼近原非凸問題的解;針對(duì)約束條件是非凸的,我們通過線性約束逼近該非凸約束,從而通過非凸問題的三重優(yōu)化算法分配噪聲子空間的功率,達(dá)到優(yōu)化發(fā)射信號(hào)的峰均比特性的目的。
[Abstract]:With the rapid development of computer technology, the upper layer encryption technology based on cryptography is facing a severe challenge. In order to ensure the security performance of information transmission in wireless communication systems, physical layer security has become a new research hotspot in the field of information security. The physical layer security communication technology assisted by artificial noise is a classical method to increase the security performance in the process of wireless communication information transmission by using multi-antenna transceiver. This technique can reduce the channel capacity of eavesdropping channel by transmitting artificial noise in the zero space of desired channel, thus improving the security channel capacity of the system to ensure the security performance of wireless communication information in the physical layer. The performance of the artificial noise aided physical layer secure communication system, such as the power allocation between the communication signal and the artificial noise signal, is discussed in detail in the existing research literature. The number of transceiver antennas and the artificial noise auxiliary mode of cooperative mode are also discussed. However, the existing research neglects the peak-to-average ratio of transmitted signals in the physical layer secure communication system assisted by artificial noise. In this paper, the following three aspects have been studied: (1) the research of the existing physical layer security communication system aided by artificial noise is studied under the ideal condition of the infinite threshold of the amplifier of the transmitting system. Security channel capacity, In this paper, the complementary cumulative distribution of PAPR and the influence of amplifier threshold on the capacity of the system security channel are analyzed from the point of view of the existence threshold of the actual system amplifier. Therefore, it is necessary to reduce the peak-to-average ratio (PAPR) characteristics of the system. (2) in this paper, a PAPR reduction algorithm based on the rotation invariance of noise subspace is proposed. The noise subspace rotation produced by the transmitter does not affect the orthogonality between the noise subspace and the zero space of the desired channel and the interference performance to the eavesdropping receiver to reduce the peak-to-average ratio of the transmitted signal. And the optimal solution of rotation angle corresponding to different noise subspace is obtained based on differential genetic algorithm (DGA). However, the dimension of algorithm search increases with the increase of the number of transmit antennas, and the computational burden of transmitter increases sharply. In order to reduce the complexity of the algorithm to facilitate the engineering implementation of the system, this paper also gives a sub-optimal algorithm based on partial rotation angle. Using a finite set of angles to reduce the peak-to-average ratio (PAPR) characteristics of the transmitted signal. (3) the existing direction-modulated signal noise subspace power allocation is equal power distribution. Changing the power allocation of different noise subspaces can reduce the peak-to-average ratio (PAPR) characteristics of the transmitted signals. In this paper, a new algorithm based on convex optimization is proposed to reduce the peak-to-average ratio (PAPR) of transmit signals with noise subspace power allocation. Firstly, a non-convex optimization problem in which the noise subspace power allocation coefficient is a feasible region with the objective function of minimizing the peak-to-average ratio (PAPR) is established. We transform it into a series of convex subproblems by means of fractional programming and other mathematical methods, so as to approach the solution of the original non-convex problem, for the constraint condition is non-convex, we approach the non-convex constraint by linear constraint. In order to optimize the peak-to-average ratio (PAPR) characteristics of transmitted signals, the power of noise subspace is allocated by a triple optimization algorithm for non-convex problems.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN918

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