CRAHNs網(wǎng)絡(luò)中基于大規(guī)模MIMO的波束形成技術(shù)的研究
[Abstract]:In recent years, CRAHNs network has been widely studied because of its high communication reliability, but it has certain requirements for signal transmission power and can not effectively suppress the multi-path effect. Large-scale MIMO technology can significantly improve the energy efficiency and spectral efficiency of the system. Therefore, combining large-scale MIMO technology with CRAHNs network, the beamforming technology in the system is deeply studied, including beamforming transmission and beamforming reception technology, which mainly solves the problems of multi-path fading and multi-node interference in the system, improves the communication performance of the network and reduces the energy consumption. (1) Broadband beamforming reception technology. The signal receiving model and criterion of narrowband beamforming are extended to broadband, and the processing method and mathematical expression of broadband beamforming are given. Aiming at the disadvantage that conventional beamforming algorithm is applied to antenna array with high sidelobe, a sidelobe constrained optimization beamforming algorithm which can be applied to broadband is proposed, and the beam response diagram is simulated, which verifies that the algorithm can effectively enhance the desired signal and suppress the interference signal. The response value of sidelobe beam can be reduced. (2) combined with OFDM to combat multi-path beamforming reception technology. Combining beamforming technology with OFDM system, the goal is to antagonize or utilize multi-path. This paper introduces two kinds of implementation structures of beamforming applied to OFDM system, studies the conventional LMS-OFDM algorithm, and puts forward a new algorithm of MCMV-OFDM in view of the fact that the algorithm can not make full use of multi-path signal and weak anti-interference. The simulation results show that the algorithm can make full use of the multi-path signal to reduce the bit error rate of the multi-path system. (3) beamforming transmission technology to eliminate co-channel interference (CCI) in the multi-node MIMO system. The mathematical model of multi-node MIMO system is given, and the conventional beamforming scheme to eliminate CCI at the transmitter is learned, but the algorithm has certain requirements for the number of transmit antennas. In order to solve this problem, a new beamforming method based on the maximum signal-leakage ratio is proposed. The algorithm can eliminate the interference between multiple nodes, and there is no requirement for the number of transmit antennas. The simulation results show that the algorithm can significantly reduce the bit error rate (BER) of the system.
【學(xué)位授予單位】:南京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN919.3
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 郭艷;朱方軍;李寧;原曉云;;MIMO認(rèn)知無線電網(wǎng)絡(luò)中的聯(lián)合收發(fā)波束形成算法研究[J];通信學(xué)報;2015年03期
2 黃凡瑋;周淵平;;OFDM系統(tǒng)中時域和頻域波束形成的比較[J];通信技術(shù);2012年06期
3 陳曾平;張月;鮑慶龍;;數(shù)字陣列雷達(dá)及其關(guān)鍵技術(shù)進(jìn)展[J];國防科技大學(xué)學(xué)報;2010年06期
4 高邐;慕德俊;張力;張國慶;;一種移動Ad hoc網(wǎng)絡(luò)分簇算法及性能分析[J];計算機(jī)科學(xué);2009年05期
5 顏波濤;;基于光纖通訊自適應(yīng)數(shù)字波束形成的應(yīng)用[J];火控雷達(dá)技術(shù);2008年04期
6 鄢社鋒;馬曉川;;寬帶波束形成器的設(shè)計與實(shí)現(xiàn)[J];聲學(xué)學(xué)報(中文版);2008年04期
7 王軍;李少謙;;認(rèn)知無線電:原理、技術(shù)與發(fā)展趨勢[J];中興通訊技術(shù);2007年03期
8 楊益新,孫超,鄢社鋒,馬遠(yuǎn)良,肖國有;圓陣寬帶恒定束寬波束形成的實(shí)驗研究[J];聲學(xué)學(xué)報;2003年06期
9 吳曼青,王炎,靳學(xué)明;收發(fā)全數(shù)字波束形成相控陣?yán)走_(dá)關(guān)鍵技術(shù)研究[J];系統(tǒng)工程與電子技術(shù);2001年04期
10 趙志峰,鄭少仁;Ad hoc網(wǎng)絡(luò)體系結(jié)構(gòu)研究[J];電信科學(xué);2001年01期
相關(guān)會議論文 前1條
1 黃春偉;胡封曄;;基于MIMO-UWB系統(tǒng)的波束成形算法[A];第十屆中國科協(xié)年會信息化與社會發(fā)展學(xué)術(shù)討論會分會場論文集[C];2008年
相關(guān)博士學(xué)位論文 前2條
1 曾桂根;認(rèn)知無線電Ad Hoc網(wǎng)絡(luò)接入技術(shù)研究[D];南京郵電大學(xué);2012年
2 楊益新;聲吶波束形成與波束域高分辨方位估計技術(shù)研究[D];西北工業(yè)大學(xué);2002年
相關(guān)碩士學(xué)位論文 前2條
1 張文超;自適應(yīng)波束形成技術(shù)在OFDM系統(tǒng)中的應(yīng)用研究[D];伊犁師范學(xué)院;2016年
2 唐玲;智能天線波束形成技術(shù)研究[D];西南交通大學(xué);2007年
,本文編號:2502785
本文鏈接:http://sikaile.net/kejilunwen/xinxigongchenglunwen/2502785.html