連續(xù)相位調(diào)制同步技術(shù)研究
發(fā)布時(shí)間:2018-12-19 20:54
【摘要】:隨著數(shù)字通信的不斷發(fā)展,高頻譜效率和高功率效率的調(diào)制方式越來(lái)越受到人們的重視。連續(xù)相位調(diào)制作為一種有記憶、恒包絡(luò)調(diào)制技術(shù)具備這兩方面優(yōu)良特性,使其受到了多種無(wú)線通信系統(tǒng)的青睞。但由于解調(diào)復(fù)雜和同步困難,使其應(yīng)用范圍受到了限制。因此,對(duì)連續(xù)相位調(diào)制信號(hào)同步技術(shù)的研究具有舉足輕重的意義。本課題著眼于連續(xù)相位調(diào)制,以矢量信號(hào)分析為應(yīng)用背景,對(duì)定時(shí)同步、載波頻率同步和載波相位同步三個(gè)關(guān)鍵技術(shù)分別進(jìn)行了研究。在每種關(guān)鍵技術(shù)研究過(guò)程中,先從連續(xù)相位調(diào)制的特殊類型——MSK類型調(diào)制入手,為矢量信號(hào)分析提供高精度的同步方案,具備一定的理論和實(shí)踐基礎(chǔ)后,然后再將研究對(duì)象擴(kuò)充至一般類型的連續(xù)相位調(diào)制。首先詳細(xì)介紹了CPM信號(hào)基本理論,包括數(shù)學(xué)模型和頻譜特性,分析其高頻譜效率的具體原因,為算法研究奠定了基礎(chǔ)。其次對(duì)定時(shí)同步技術(shù)進(jìn)行了討論,對(duì)多種定時(shí)誤差估計(jì)算法進(jìn)行了仿真,根據(jù)分析結(jié)果,兼顧估計(jì)精度和穩(wěn)定性,選用了改進(jìn)型MCM算法作為矢量信號(hào)分析中MSK類型調(diào)制的定時(shí)同步技術(shù)方案;并針對(duì)一般類型CPM信號(hào)的前向NDA定時(shí)同步算法精度低的問(wèn)題,在該算法模型的基礎(chǔ)上利用牛頓迭代法提出了一種改進(jìn)算法,提高了估計(jì)精度。然后,對(duì)載波頻率同步技術(shù)進(jìn)行了研究,針對(duì)矢量信號(hào)分析中MSK類型調(diào)制大頻偏和高精度的需求,本文提出了一種延遲相乘方法和最大似然方法級(jí)聯(lián)的頻率同步算法,兩步同步模式不僅具有大頻偏的估計(jì)范圍,還具有高精度的性能,并將其作為MSK類型調(diào)制的頻率同步方案,同時(shí)為一般類型CPM調(diào)制提出了更高精度的非線性變換頻率同步算法,與現(xiàn)有算法進(jìn)行了比較和分析;之后,對(duì)載波相位同步技術(shù)進(jìn)行了研究,將基于PAM分解和基于泰勒級(jí)數(shù)展開的兩種最大似然算法進(jìn)行了對(duì)比,仿真結(jié)果表明,基于泰勒級(jí)數(shù)展開的最大似然算法具有更高精度,并將選其作為矢量信號(hào)分析中的載波相位同步方案,并對(duì)一般類型的CPM調(diào)制的2P-Power相位同步算法進(jìn)行了研究,不同的調(diào)制參數(shù),該算法具有不同的性能。
[Abstract]:With the development of digital communication, more and more attention has been paid to the modulation of high spectral efficiency and high power efficiency. As a kind of memory and constant envelope modulation technology, continuous phase modulation has been favored by many wireless communication systems because of its excellent characteristics. However, because of the complexity of demodulation and the difficulty of synchronization, its application scope is limited. Therefore, it is very important to study the synchronization technology of continuous phase modulation signal. This paper focuses on continuous phase modulation and studies three key technologies, namely timing synchronization, carrier frequency synchronization and carrier phase synchronization, based on vector signal analysis. In each key technology research process, we start with the special type of continuous phase modulation, MSK type modulation, and provide a high-precision synchronization scheme for vector signal analysis, which has a certain theoretical and practical foundation. Then the object of study is extended to a general type of continuous phase modulation. Firstly, the basic theory of CPM signal is introduced in detail, including the mathematical model and spectrum characteristics, and the reasons for its high spectral efficiency are analyzed, which lays a foundation for the research of the algorithm. Secondly, the timing synchronization technology is discussed, and a variety of timing error estimation algorithms are simulated. According to the analysis results, the estimation accuracy and stability are taken into account. The improved MCM algorithm is selected as the timing synchronization scheme of MSK modulation in vector signal analysis. Aiming at the problem of low precision of forward NDA timing synchronization algorithm for general type of CPM signals, an improved algorithm is proposed based on the model of the algorithm and Newton iteration method is used to improve the estimation accuracy. Then, the carrier frequency synchronization technology is studied. Aiming at the demand of large frequency offset and high precision of MSK modulation in vector signal analysis, this paper proposes a frequency synchronization algorithm with concatenated delay multiplication method and maximum likelihood method. The two-step synchronization mode not only has large frequency offset estimation range, but also has high precision performance. It is regarded as the frequency synchronization scheme of MSK modulation. At the same time, a higher precision nonlinear transform frequency synchronization algorithm is proposed for general type CPM modulation. Compared with the existing algorithms, the algorithm is compared and analyzed. After that, the carrier phase synchronization technology is studied, and two kinds of maximum likelihood algorithms based on PAM decomposition and Taylor series expansion are compared. The simulation results show that the maximum likelihood algorithm based on Taylor series expansion has higher accuracy. It is chosen as the carrier phase synchronization scheme in vector signal analysis, and the general 2P-Power phase synchronization algorithm of CPM modulation is studied. Different modulation parameters show that the algorithm has different performance.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TN911.3
,
本文編號(hào):2387438
[Abstract]:With the development of digital communication, more and more attention has been paid to the modulation of high spectral efficiency and high power efficiency. As a kind of memory and constant envelope modulation technology, continuous phase modulation has been favored by many wireless communication systems because of its excellent characteristics. However, because of the complexity of demodulation and the difficulty of synchronization, its application scope is limited. Therefore, it is very important to study the synchronization technology of continuous phase modulation signal. This paper focuses on continuous phase modulation and studies three key technologies, namely timing synchronization, carrier frequency synchronization and carrier phase synchronization, based on vector signal analysis. In each key technology research process, we start with the special type of continuous phase modulation, MSK type modulation, and provide a high-precision synchronization scheme for vector signal analysis, which has a certain theoretical and practical foundation. Then the object of study is extended to a general type of continuous phase modulation. Firstly, the basic theory of CPM signal is introduced in detail, including the mathematical model and spectrum characteristics, and the reasons for its high spectral efficiency are analyzed, which lays a foundation for the research of the algorithm. Secondly, the timing synchronization technology is discussed, and a variety of timing error estimation algorithms are simulated. According to the analysis results, the estimation accuracy and stability are taken into account. The improved MCM algorithm is selected as the timing synchronization scheme of MSK modulation in vector signal analysis. Aiming at the problem of low precision of forward NDA timing synchronization algorithm for general type of CPM signals, an improved algorithm is proposed based on the model of the algorithm and Newton iteration method is used to improve the estimation accuracy. Then, the carrier frequency synchronization technology is studied. Aiming at the demand of large frequency offset and high precision of MSK modulation in vector signal analysis, this paper proposes a frequency synchronization algorithm with concatenated delay multiplication method and maximum likelihood method. The two-step synchronization mode not only has large frequency offset estimation range, but also has high precision performance. It is regarded as the frequency synchronization scheme of MSK modulation. At the same time, a higher precision nonlinear transform frequency synchronization algorithm is proposed for general type CPM modulation. Compared with the existing algorithms, the algorithm is compared and analyzed. After that, the carrier phase synchronization technology is studied, and two kinds of maximum likelihood algorithms based on PAM decomposition and Taylor series expansion are compared. The simulation results show that the maximum likelihood algorithm based on Taylor series expansion has higher accuracy. It is chosen as the carrier phase synchronization scheme in vector signal analysis, and the general 2P-Power phase synchronization algorithm of CPM modulation is studied. Different modulation parameters show that the algorithm has different performance.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TN911.3
,
本文編號(hào):2387438
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