【摘要】：目前，多輸入多輸出（Multi-Input Multi-Output，MIMO）技術(shù)已成為L(zhǎng)TE/LTE-Advanced中的核心技術(shù)之一，它能夠顯著提升無(wú)線通信系統(tǒng)的數(shù)據(jù)傳輸速率、可靠性、抗干擾、能量效率等方面性能。同時(shí)，當(dāng)天線數(shù)量逐漸增大時(shí)，無(wú)線通信系統(tǒng)的性能也會(huì)逐漸增強(qiáng)，為了進(jìn)一步提升無(wú)線通信系統(tǒng)的性能，學(xué)術(shù)界提出了大規(guī)模MIMO技術(shù)（Massive MIMO）。相比于普通的MIMO通信系統(tǒng)，大規(guī)模MIMO通信系統(tǒng)擁有更多的天線，能夠提供更好的通信性能，且系統(tǒng)實(shí)現(xiàn)復(fù)雜度大大降低。因此，大規(guī)模MIMO技術(shù)有希望成為下一代5G移動(dòng)通信系統(tǒng)的核心技術(shù)之一。 在大規(guī)模MIMO通信系統(tǒng)中，預(yù)編碼會(huì)引起大規(guī)模MIMO通信系統(tǒng)的各天線之間功率發(fā)生較大的動(dòng)態(tài)波動(dòng)，從而引起較高的峰均功率比（Peak-to-Average PowerRatio，PAPR）。由于無(wú)線通信系統(tǒng)中需要使用高功率方法器進(jìn)行功率放大，且功率放大器的線性放大區(qū)域有限，因此，當(dāng)PAPR高的信號(hào)通過(guò)高功率放大器時(shí)，會(huì)引起比較大的非線性失真，從而影響系統(tǒng)的誤碼率性能。大規(guī)模MIMO無(wú)線通信系統(tǒng)的高PAPR特性是阻礙其走向?qū)嵱玫囊粋�(gè)重要瓶頸。 本文針對(duì)大規(guī)模MIMO通信系統(tǒng)PAPR較高的問題，進(jìn)行了詳細(xì)的討論與研究，并仿真實(shí)現(xiàn)了預(yù)編碼方法用于降低大規(guī)模MIMO通信系統(tǒng)的峰均功率比。本文首先詳細(xì)介紹大規(guī)模MIMO通信系統(tǒng)的基本原理，并介紹了大規(guī)模MIMO通信系統(tǒng)中的一些具體技術(shù)。然后，本文詳細(xì)分析了大規(guī)模MIMO通信系統(tǒng)的峰均功率比，并介紹了一些降低大規(guī)模MIMO通信系統(tǒng)峰均功率比的方法。最后，本文研究了一種預(yù)編碼方法用于降低大規(guī)模MIMO通信系統(tǒng)的峰均功率比，該方法的基本原理為：大規(guī)模MIMO通信系統(tǒng)存在無(wú)窮中預(yù)編碼方法，我們可以尋找一種PAPR最低的預(yù)編碼方法用于降低大規(guī)模MIMO通信系統(tǒng)的PAPR。同時(shí)，為了研究預(yù)編碼方法降低大規(guī)模MIMO通信系統(tǒng)PAPR的性能，我們使用Matlab進(jìn)行了仿真與分析。
[Abstract]:At present, multi-input multiple-output (Multi-Input Multi-Output,MIMO) technology has become one of the core technologies in LTE/LTE-Advanced. It can significantly improve the data transmission rate, reliability, anti-interference, energy efficiency and other aspects of wireless communication systems. At the same time, when the number of antennas gradually increases, the performance of the wireless communication system will be gradually enhanced. In order to further improve the performance of the wireless communication system, a large-scale MIMO technology, (Massive MIMO)., has been proposed by the academic community. Compared with the ordinary MIMO communication system, the large-scale MIMO communication system has more antennas, can provide better communication performance, and the system implementation complexity is greatly reduced. Therefore, large-scale MIMO technology is expected to become one of the core technologies of the next generation 5G mobile communication system. In large-scale MIMO communication system, precoding will cause large dynamic fluctuation of power between antennas in large-scale MIMO communication system, which will lead to higher peak-to-average power ratio (Peak-to-Average PowerRatio,PAPR). Because the high power amplifier is needed in wireless communication system, and the linear amplification area of the power amplifier is limited, when the high PAPR signal passes through the high power amplifier, it will cause a large non-linear distortion. Thus, the BER performance of the system is affected. The high PAPR characteristic of large-scale MIMO wireless communication system is an important bottleneck that hinders its application. In this paper, the problem of high PAPR in large-scale MIMO communication system is discussed and studied in detail, and the pre-coding method is simulated to reduce the peak-to-average power ratio of large-scale MIMO communication system. In this paper, the basic principle of large-scale MIMO communication system is introduced in detail, and some specific techniques in large-scale MIMO communication system are introduced. Then, this paper analyzes the peak-to-average power ratio of large-scale MIMO communication system in detail, and introduces some methods to reduce the peak-to-average power ratio of large-scale MIMO communication system. Finally, this paper studies a precoding method to reduce the peak-to-average power ratio of large-scale MIMO communication systems. The basic principle of this method is as follows: there is an infinite mid-precoding method in large-scale MIMO communication systems. We can find a minimum PAPR precoding method to reduce the PAPR. of large-scale MIMO communication systems. At the same time, in order to study the precoding method to reduce the performance of large-scale MIMO communication system PAPR, we use Matlab to simulate and analyze.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN919.3

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