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全雙工無線通信系統(tǒng)自干擾消除技術的分類研究與應用

發(fā)布時間:2018-10-20 14:11
【摘要】:作為5G的關鍵技術,同時同頻全雙工以相同的時間和相同的頻率發(fā)送和接收信號,與時分雙工和頻分雙工相比,理想情況下最高可獲得兩倍的頻譜利用率,是提高下一代無線通信系統(tǒng)容量的有效措施之一。但是,正因為其同時同頻收發(fā)信號的特性,嚴重的環(huán)路自干擾成為制約其發(fā)展的主要因素。本文將對全雙工系統(tǒng)自干擾消除技術進行研究,具體包括:(1)研究范圍廣泛的各類多輸入多輸出(Multiple-Input Multiple-Output,MIMO)中繼自干擾消除方案,包括自然隔離,時域消除和空域抑制。其中空域抑制又分為天線選擇,波束選擇,零空間投影和最小均方誤差濾波。推導各類方案的中繼自干擾表達式時利用了系統(tǒng)的等效模型,為了最小化自干擾功率,采用獨立,分離和聯(lián)合三種設計方式為三類消除算法設計了最優(yōu)濾波器。通過仿真評價和比較各類消除方案的性能,結(jié)果表明自干擾能夠得到有效抑制。(2)采用自干擾信號頻域重建抑制方法進行數(shù)字自干擾抑制,對正交頻分復用(Orthogonal Frequency Division Multiplexing,OFDM)信號數(shù)字自干擾抑制展開驗證,分析了數(shù)字自干擾抑制方法的原理模型和數(shù)字自干擾抑制能力,證明了自干擾信道的估計精度是影響自干擾抑制效果的關鍵因素。研究了壓縮傳感(Compressed Sensing,CS)估計方法用于自干擾信道估計,仿真結(jié)果表明,通過提供自干擾信道更加精確的估計,CS估計方法的自干擾抑制效果優(yōu)于傳統(tǒng)的最小二乘(Least Square,LS)信道估計方法。
[Abstract]:As the key technology of 5G, at the same time, the same frequency full duplex transmits and receives signals at the same time and the same frequency. Compared with time division duplex and frequency division duplex, the highest spectrum efficiency can be obtained in the ideal condition. It is one of the effective measures to improve the capacity of the next generation wireless communication system. However, because of the characteristics of simultaneous transceiver signals, the serious self-interference of loop becomes the main factor restricting its development. In this paper, the self-interference cancellation techniques for full-duplex systems are studied, including: (1) various kinds of multi-input multiple-output (Multiple-Input Multiple-Output,MIMO) relay self-interference cancellation schemes, including natural isolation, time-domain elimination and spatial domain suppression, are studied. Spatial domain suppression is divided into antenna selection, beam selection, zero space projection and minimum mean square error filtering. In order to minimize the self-interference power, the optimal filter is designed for three kinds of elimination algorithms by using three design methods: independence, separation and association, in order to minimize the self-interference power by using the equivalent model of the system when deducing the expressions of relay self-interference of various schemes. The simulation results show that the self-interference can be suppressed effectively. (2) the digital self-interference suppression is carried out by using the frequency domain reconstruction suppression method of the self-interference signal. The digital self-interference suppression of orthogonal Frequency Division Multiplexing (Orthogonal Frequency Division Multiplexing,OFDM) signal is verified. The principle model and the digital self-interference suppression ability of the digital self-interference suppression method are analyzed. It is proved that the estimation accuracy of the self interference channel is the key factor affecting the self interference suppression effect. The compression sensing (Compressed Sensing,CS) estimation method for self-interference channel estimation is studied. The simulation results show that the self-interference suppression effect of the CS estimation method is better than that of the traditional least squares (Least Square,LS) channel estimation method by providing more accurate estimation of the self-interference channel.
【學位授予單位】:南京郵電大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TN929.5

【參考文獻】

相關期刊論文 前5條

1 Lu Tian;Shuai Wang;Zhiheng Cheng;Xiangyuan Bu;;All-Digital Self-Interference Cancellation in Zero-IF Full-Duplex Transceivers[J];中國通信;2016年11期

2 Wen Zhao;Chunyan Feng;Fangfang Liu;Caili Guo;;Polarization Oblique Projection Based Self-Interference Cancellation against PA Nonlinear Distortion in MIMO Full Duplex System[J];中國通信;2016年11期

3 Zhirong Luan;Hua Qu;Jihong Zhao;Badong Chen;;Robust Digital Non-Linear Self-Interference Cancellation in Full Duplex Radios with Maximum Correntropy Criterion[J];中國通信;2016年09期

4 肖清華;;蓄勢待發(fā)、萬物互連的5G技術[J];移動通信;2015年01期

5 秦飛;康紹麗;;融合、演進與創(chuàng)新的5G技術路線[J];電信網(wǎng)技術;2013年09期

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