高階QAM通信系統(tǒng)中相位噪聲抑制算法研究
發(fā)布時間：2018-12-18 00:29
【摘要】：近年來,隨著移動互聯(lián)網(wǎng)、大數(shù)據(jù)、云計算、物聯(lián)網(wǎng)等新興技術(shù)的迅猛發(fā)展,網(wǎng)絡(luò)流量高速增長,人們對帶寬的需求越來越大,如何進一步提升通信系統(tǒng)的傳輸容量成為了研究熱點,由于頻譜資源的有限性,提高頻譜效率成為了提高通信系統(tǒng)傳輸容量的有效方法。高階正交振幅調(diào)制(M-QAM)由于具有多階和多維調(diào)制和編碼特性而成為提高系統(tǒng)傳輸容量的最具吸引力的調(diào)制方式。然而隨著調(diào)制階數(shù)的增加,星座圖中的點將會變得更加密集,這時除了加性白噪聲之外,相位噪聲也將明顯影響系統(tǒng)的性能。本文主要對高階QAM通信系統(tǒng)中的相位噪聲抑制算法進行了研究,主要研究工作和成果如下:1.對通信系統(tǒng)中相位噪聲的來源及表示方法進行了詳細的理論分析,并對常用的相位噪聲模型進行了分類,使用Matlab對高階QAM通信系統(tǒng)中相位噪聲的影響進行了仿真分析。2.重點研究了通信系統(tǒng)中不同模塊的相位噪聲抑制算法并將其分為三類,分析了各類算法中幾種典型算法的原理以及流程并歸納了各自的優(yōu)缺點,搭建Matlab平臺仿真對比了各類算法中幾種典型算法的誤碼率性能,結(jié)果表明,在發(fā)送端通過對星座圖進行優(yōu)化的算法中,圓形對稱的QAM星座圖結(jié)構(gòu)有最好的誤碼率性能;在載波恢復模塊對相位噪聲進行抑制的算法中,基于數(shù)據(jù)輔助的維納內(nèi)插算法的誤碼率性能要大大優(yōu)于非數(shù)據(jù)輔助算法中的冪律算法;在改進的硬判決算法中,算法的誤碼性能與相位噪聲對系統(tǒng)的影響因子α有著重要關(guān)系;在改進的軟判決算法中,改進后的算法的誤碼性能要優(yōu)于標準軟判決算法。3.針對現(xiàn)代通信系統(tǒng)中智能化這一趨勢,本文提出了一種基于改進的引力搜索算法的相位噪聲抑制算法,并用Matlab軟件對它仿真,從迭代次數(shù)和慣性因子兩個角度對算法進行了詳細分析,結(jié)果表明迭代次數(shù)越高時,該算法的精度越高;在慣性因子k取值為動態(tài)調(diào)整時算法可獲得最快的收斂速度,符號群能在最短時間內(nèi)找到各自的最優(yōu)位置。
[Abstract]:In recent years, with the rapid development of mobile Internet, big data, cloud computing, Internet of things and other emerging technologies, network traffic is growing at a high speed, and the demand for bandwidth is increasing. How to further enhance the transmission capacity of communication systems has become a hot topic. Because of the limitation of spectrum resources, improving spectrum efficiency has become an effective method to improve the transmission capacity of communication systems. High order quadrature amplitude modulation (M-QAM) is the most attractive modulation method for improving the transmission capacity of the system due to its multi-order and multi-dimensional modulation and coding characteristics. However, with the increase of modulation order, the points in the constellation will become more dense. In addition to the additive white noise, the phase noise will obviously affect the performance of the system. In this paper, phase noise suppression algorithms in high order QAM communication systems are studied. The main work and results are as follows: 1. The origin and representation of phase noise in communication system are analyzed in detail, and the commonly used phase noise models are classified. The effect of phase noise in high order QAM communication system is simulated by using Matlab. 2. The phase noise suppression algorithms of different modules in communication system are studied and classified into three categories. The principle and flow of several typical algorithms are analyzed and their advantages and disadvantages are summarized. The BER performance of several typical algorithms is compared by building a Matlab platform. The results show that the circular symmetric QAM constellation structure has the best BER performance in the algorithm of constellation diagram optimization. In the algorithm of phase noise suppression in carrier recovery module, the BER performance of Wiener interpolation algorithm based on data assistance is much better than that of power law algorithm in non-data-aided algorithm. In the improved hard decision algorithm, the error performance of the algorithm has an important relationship with the influence factor 偽 of phase noise on the system, and in the improved soft decision algorithm, the error performance of the improved algorithm is better than that of the standard soft decision algorithm. Aiming at the trend of intelligence in modern communication system, this paper presents a phase noise suppression algorithm based on improved gravitational search algorithm, and simulates it with Matlab software. The algorithm is analyzed in detail from the angles of iteration number and inertia factor. The results show that the higher the iteration number, the higher the accuracy of the algorithm. When the inertia factor k is dynamically adjusted, the algorithm can obtain the fastest convergence speed, and the symbol group can find their optimal position in the shortest time.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN914
本文編號：2385010
[Abstract]:In recent years, with the rapid development of mobile Internet, big data, cloud computing, Internet of things and other emerging technologies, network traffic is growing at a high speed, and the demand for bandwidth is increasing. How to further enhance the transmission capacity of communication systems has become a hot topic. Because of the limitation of spectrum resources, improving spectrum efficiency has become an effective method to improve the transmission capacity of communication systems. High order quadrature amplitude modulation (M-QAM) is the most attractive modulation method for improving the transmission capacity of the system due to its multi-order and multi-dimensional modulation and coding characteristics. However, with the increase of modulation order, the points in the constellation will become more dense. In addition to the additive white noise, the phase noise will obviously affect the performance of the system. In this paper, phase noise suppression algorithms in high order QAM communication systems are studied. The main work and results are as follows: 1. The origin and representation of phase noise in communication system are analyzed in detail, and the commonly used phase noise models are classified. The effect of phase noise in high order QAM communication system is simulated by using Matlab. 2. The phase noise suppression algorithms of different modules in communication system are studied and classified into three categories. The principle and flow of several typical algorithms are analyzed and their advantages and disadvantages are summarized. The BER performance of several typical algorithms is compared by building a Matlab platform. The results show that the circular symmetric QAM constellation structure has the best BER performance in the algorithm of constellation diagram optimization. In the algorithm of phase noise suppression in carrier recovery module, the BER performance of Wiener interpolation algorithm based on data assistance is much better than that of power law algorithm in non-data-aided algorithm. In the improved hard decision algorithm, the error performance of the algorithm has an important relationship with the influence factor 偽 of phase noise on the system, and in the improved soft decision algorithm, the error performance of the improved algorithm is better than that of the standard soft decision algorithm. Aiming at the trend of intelligence in modern communication system, this paper presents a phase noise suppression algorithm based on improved gravitational search algorithm, and simulates it with Matlab software. The algorithm is analyzed in detail from the angles of iteration number and inertia factor. The results show that the higher the iteration number, the higher the accuracy of the algorithm. When the inertia factor k is dynamically adjusted, the algorithm can obtain the fastest convergence speed, and the symbol group can find their optimal position in the shortest time.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN914
【參考文獻】
相關(guān)碩士學位論文 前3條
1 楊國翔;QAM系統(tǒng)中抑制相位噪聲算法的研究[D];西安電子科技大學;2014年
2 袁亞玲;基于星座圖設(shè)計的相位噪聲抑制算法研究[D];西安電子科技大學;2012年
3 喻勤;高階調(diào)制系統(tǒng)中相位噪聲抑制算法研究[D];西安電子科技大學;2012年
，本文編號：2385010
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