本文選題：同時(shí)同頻全雙工 + 自干擾消除��； 參考：《北京郵電大學(xué)》2014年碩士論文

【摘要】：隨著無線通信產(chǎn)業(yè)的發(fā)展,無線通信中使用的信號帶寬越來越寬,頻譜需求越來越大,相對應(yīng)的頻譜資源卻越來越少。目前,無線通信上下行鏈路從頻分多址、時(shí)分多址到碼分多址的發(fā)展,人們一直致力于研究節(jié)約頻譜資源和最大化利用頻譜的算法和技術(shù),此時(shí)無線通信學(xué)界的另一個(gè)提升頻譜利用率的研究熱點(diǎn)同時(shí)同頻全雙工通信應(yīng)運(yùn)而生。同時(shí)同頻全雙工通信中最重要的核心是信號的自干擾消除。因?yàn)樵谕瑫r(shí)同頻全雙工通信中,在發(fā)射信息的同時(shí)還要接收信息,由于發(fā)射與接收同時(shí)進(jìn)行,自干擾信號的功率會遠(yuǎn)遠(yuǎn)大于接收對方信號的功率,對接收系統(tǒng)造成嚴(yán)重干擾。不僅有用信息被淹沒在強(qiáng)烈的自干擾信號中造成接收數(shù)據(jù)錯(cuò)誤,而且接收鏈路的低噪聲放大器也會接近飽和對接收系統(tǒng)的硬件造成嚴(yán)重危害。因此,要實(shí)現(xiàn)全雙工通信,必須在接收鏈路進(jìn)行自干擾消除。 本文重點(diǎn)研究了同時(shí)同頻全雙工通信的自干擾消除技術(shù)。該技術(shù)分為模擬自干擾消除和數(shù)字干擾消除。模擬自干擾消除指的是在射頻接收端進(jìn)行模擬信號的自干擾消除,數(shù)字干擾消除指的是在接收到信息后在數(shù)字域進(jìn)行的自干擾消除。本文創(chuàng)新性的研究了影響模擬自干擾消除效果的信號幅度條件和相位條件,推導(dǎo)出了完整的公式,在現(xiàn)有模擬自干擾消除架構(gòu)基礎(chǔ)之上進(jìn)行了改進(jìn),并設(shè)計(jì)出硬件電路進(jìn)行實(shí)際驗(yàn)證,最終與全雙工收發(fā)信機(jī)聯(lián)合進(jìn)行全雙工通信測試,在2至3米的近距離條件下取的了較好的效果。本文還創(chuàng)新性的提出了基于功率測量和環(huán)路延遲計(jì)算的數(shù)字干擾消除算法,本算法比現(xiàn)有的數(shù)字濾波器數(shù)字干擾消除方法提升了將近5dB的自干擾消除效果。為今后的繼續(xù)研究打下了良好的基礎(chǔ)。
[Abstract]:With the development of wireless communication industry, the signal bandwidth used in wireless communication is becoming wider and wider, the demand for spectrum is increasing, but the corresponding spectrum resources are becoming less and less.At present, with the development of uplink and downlink in wireless communication from frequency division multiple access, time division multiple access to code division multiple access, people have been studying algorithms and techniques to save spectrum resources and maximize spectrum utilization.At this time, another research hotspot in wireless communication field to improve spectrum efficiency is simultaneous full duplex communication.At the same time, the most important core of full duplex communication is self-interference cancellation.In the simultaneous full-duplex communication, the information is transmitted and received at the same time. Because of the simultaneous transmission and reception, the power of the self-interference signal will be much larger than that of the other signal, which will cause serious interference to the receiving system.Not only the useful information is submerged in the strong self-interference signal resulting in the receiving data error, but also the low noise amplifier of the receiving link will be close to saturation, which will cause serious harm to the hardware of the receiving system.Therefore, in order to realize full duplex communication, self-interference cancellation must be carried out on the receiving link.This paper focuses on self-interference cancellation technology for simultaneous-frequency full-duplex communication.This technique is divided into analog self-interference cancellation and digital interference cancellation.Analog self-interference cancellation refers to the self-interference cancellation of analog signals at the RF receiver, and digital interference cancellation is the self-interference cancellation in the digital domain after receiving the information.In this paper, the signal amplitude and phase conditions that affect the simulation self-interference cancellation effect are studied innovatively, and the complete formula is deduced, which is improved on the basis of the existing analog self-interference cancellation architecture.The hardware circuit is designed for practical verification. Finally, the full-duplex communication test is carried out jointly with the full-duplex transceiver, and the result is better under the condition of 2 to 3 meters close distance.This paper also proposes an innovative digital interference cancellation algorithm based on power measurement and loop delay calculation. This algorithm improves the self-interference cancellation effect of nearly 5dB compared with the existing digital filter digital interference cancellation method.It lays a good foundation for further research.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN92

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 郭巖;同時(shí)同頻全雙工OFDM無線通信系統(tǒng)自干擾抑制研究[D];哈爾濱工業(yè)大學(xué);2016年

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本文編號：1744439