本文關鍵詞：室內全雙工自干擾信道測量與建模　出處：《電子科技大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： 全雙工 自干擾信道 頻域測量 信道建模

【摘要】：一直以來,無線通信都是以半雙工方式進行的,時分雙工或頻分雙工,頻譜效率低下。隨著各種通信技術對頻譜資源的占用,無線電頻譜稀缺性日益凸顯。目前,同時同頻全雙工技術取得了突破性進展,該技術理論上可以節(jié)約一半頻譜,將緩解頻譜資源緊張的現狀。全雙工通信的一個技術難點是消除本地發(fā)射機對接收機的超大功率干擾,即信道自干擾。掌握自干擾信道特性有助于最大可能地抵消自干擾信號,而這方面研究成果還相當缺乏。鑒于此,論文提出一種室內全雙工自干擾信道測量方案,搭建了測量平臺實測得到大量數據,提取了自干擾信道參數,并試圖建立模型。主要內容包括:第一,針對室內無線信道,研究了常見信道測量方法及室內模型。探究了周期脈沖探測法、偽隨機序列滑動相關法、頻域測量法原理并分析各自利弊,同時研究了對數距離路徑損耗模型、Ericsson多重斷點模型等常見室內信道模型,為全雙工自干擾信道測量與建模奠定基礎。第二,根據室內全雙工自干擾信道特點,提出信道測量方案、掌握實測關鍵技術。論文搭建頻域測量平臺、確定測量天線間距為0.05m~1.5m、規(guī)劃256個測量位置分布并在實驗室中實測得到3328組數據,掌握了頻域測量關鍵技術。第三,給出頻域數據處理方法,提取路徑損耗參數,建立信道大尺度衰落模型。首先對頻域數據加窗濾波,然后求取測量點功率損耗,最后通過數據擬合方式建立路徑損耗分段模型,結果顯示近場路徑損耗系數為1.515,遠場路徑損耗系數為1.856。第四,通過Chirp z反變換,從時域處理信道功率時延譜,提取均方根時延擴展參數并建立模型。得到信道功率時延譜后,設置噪聲功率忽略底噪影響,調整時間零點,根據實測數據擬合得到均方根時延擴展對數正態(tài)分段模型。論文提出了一種室內全雙工自干擾信道模型,為人們掌握自干擾信道特性提供依據,為自干擾信號抵消技術提供參考,進一步促進全雙工技術的發(fā)展與應用。
[Abstract]:Since wireless communication is carried out in the half duplex mode, time division duplex or frequency division duplex, the spectrum efficiency is low. With the occupation of various communication technologies of spectrum resources, radio spectrum scarcity has become increasingly prominent. At present, at the same time with the same frequency full duplex technology has made a breakthrough, this technology can save half spectrum theory that will ease the shortage of spectrum resources status. A technical difficulty of full duplex communication is to eliminate the large power interference to the receiver local transmitter, channel self interference. Master self interference channel characteristics contribute to the maximum possible offset from the interference signal, and this research is still lacking. In view of this, this paper proposes a indoor full duplex self interference channel measurement scheme, setting up a measurement platform obtained large amounts of data, extraction of the self interference channel parameters, and tries to establish the model. The main contents include: A, according to the indoor wireless channel, the channel model of common measuring method and indoor. Explores the periodic pulse detection method, pseudo random sequence correlation method, the principle of frequency measurement method and analyzes their advantages and disadvantages, and study the logarithmic distance path loss model, Ericsson model and multiple breakpoint common indoor channel model for full duplex self interference channel measurement and modeling foundation. Second, according to the indoor full duplex self interference channel characteristics, proposes the channel measurement scheme, master the key technology of measurement. The paper built the frequency measurement platform, determine the measurement of antenna spacing is 0.05m~1.5m, planning 256 measuring position distribution and the measured data of the 3328 groups in the laboratory, mastered the key technology of frequency measurement. Third, given the frequency domain data processing method, extraction path loss parameter, the establishment of large scale channel fading model. Firstly, the frequency domain data window filter, however After obtaining the measuring point power loss, finally through data fitting method to establish the path loss model results show that the near field segment, the path loss coefficient is 1.515, the far field path loss coefficient is 1.856. fourth, the Chirp inverse Z transform in time domain channel power delay spectrum extraction, RMS delay spread parameter and establishes the model of channel. The power delay profile, set the noise power ignore background noise effect, adjust the zero time, according to the measured data by fitting the RMS delay expansion of piecewise lognormal model. This paper presents an indoor full duplex self interference channel model, provide the basis for people to master the self interference channel characteristics, provide the reference for the self interference cancellation technology and further promote the development and application of full duplex technology.

【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN972

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本文編號：1416714