MIMO-OFDM应用于室内可见光通信的技术研究
[Abstract]:White light LED light source for wireless information transmission has become a hot research topic in the field of wireless communication at home and abroad. Visible light communication (VLC) technology combines LED lighting with wireless communication, and the white light LED has short response time and can be modulated at high speed. With light as carrier, the technology of transmitting information by adjusting the bright intensity of white LED at high speed has the advantages of radiation safety, wide frequency band and the universality of LED. MIMO-OFDM will be the solution of indoor wireless high-speed communication. MIMO-OFDM can effectively resist multipath effect and suppress interference and noise by combining OFDM with space-time coding technology. It can greatly improve the transmission rate and channel capacity of wireless communication system, and achieve high-speed and reliable data transmission. In this paper, the orthogonality, modulation and demodulation between subcarriers of OFDM system, transmission error rate and so on are studied, and compared with single carrier transmission system in large scale fading. It is concluded that OFDM system can have ideal low bit error rate even in large scale fading. This paper analyzes the channel model of MIMO applied to indoor visible light communication, one is non-imaging wireless optical MIMO communication, the other is imaging MIMO communication, and it is concluded that imaging wireless optical MIMO communication is more suitable for practical application. Based on the analysis of the driving characteristics of white LED and the channel model of indoor visible light transmission, the application of MIMO-OFDM technology in indoor visible light communication system is proposed to realize high-speed and reliable information transmission. In this paper, the error rate of MIMO-OFDM modulation technology and MIMO modulation technology in different SNR is compared by simulation. In the case of the same transmission rate, the modulation technology of MIMO-OFDM in visible light communication shows a lower bit error rate. In the same symbol period, the information transmission rate is faster and the bit error rate is very low. At the detection end of MIMO signal, the error rate of ML detection algorithm, ZF detection algorithm and MMSE detection algorithm are compared and analyzed in different SNR cases. The maximum likelihood detection method shows a smaller bit error rate. Secondly, the minimum mean square error detection algorithm. However, the complexity of the maximum likelihood detection algorithm increases sharply with the increase of the number of transmit antennas and modulation order.
【学位授予单位】:西安电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN929.1
【相似文献】
相关期刊论文 前10条
1 王玉萍;黄虎;张叶;林涛;;浅谈MIMO-OFDM技术[J];信息通信;2014年04期
2 宋品;王保保;;基于多用户MIMO-OFDM的联合发送技术研究[J];电子技术;2010年01期
3 李永杰;傅洪亮;;MIMO-OFDM相关信道的研究[J];山东通信技术;2007年03期
4 李世杰;刘毓;;MIMO-OFDM信道估计新方法[J];现代电子技术;2011年03期
5 徐晓国;辛洪亮;程欢;;基于智能天线的多用户MIMO-OFDM联合发送技术研究[J];电子技术应用;2010年10期
6 郭磊;朱光喜;;一种部分信道响应环境中的多用户MIMO-OFDM自适应子载波分配优化算法[J];电子与信息学报;2008年07期
7 王芳;王启国;杨平;;基于零相关区序列的MIMO-OFDM信道估计[J];华中科技大学学报(自然科学版);2008年09期
8 侯晓,郑宝玉,罗汉文,宋文涛;MIMO-OFDM蜂窝系统中优选训练序列及信道估计[J];上海交通大学学报;2004年11期
9 肖征荣,余智,赵绍刚,吴伟陵;使用复小波包的MIMO-OFDM无线系统[J];北京航空航天大学学报;2004年11期
10 王德胜,朱光喜,林宏志;MIMO-OFDM最优导频设置与优化的信道估计方法[J];通信学报;2005年01期
相关会议论文 前2条
1 邓攀;颜振亚;;一种MIMO-OFDM准静态信道估计方法的研究[A];2011年通信与信息技术新进展——第八届中国通信学会学术年会论文集[C];2011年
2 刘为怀;;MIMO-OFDM信道估计的一种训练符设计[A];2006中国西部青年通信学术会议论文集[C];2006年
相关博士学位论文 前1条
1 李莉;MIMO-OFDM无线通信系统信道估计研究[D];吉林大学;2009年
相关硕士学位论文 前10条
1 刘后军;MIMO-OFDM应用于室内可见光通信的技术研究[D];西安电子科技大学;2014年
2 赵超;MIMO-OFDM无线通信系统的信道估计方法研究[D];华南理工大学;2010年
3 杜加懂;MIMO-OFDM信道仿真、检测和信道估计的研究[D];北京交通大学;2007年
4 张帆;OFDM及MIMO-OFDM同步技术的研究[D];大连海事大学;2008年
5 郑书鑫;基于ICA的盲MIMO-OFDM接收机技术研究[D];宁波大学;2012年
6 陈剑;基于粒子群算法的两跳MIMO-OFDM中继通信系统功率分配[D];哈尔滨工程大学;2011年
7 林波;MIMO-OFDM试验系统数据传输接口DSP实现技术研究[D];电子科技大学;2009年
8 徐晓亮;MIMO-OFDM收发机部分关键技术的优化与实现[D];北京邮电大学;2010年
9 董晶晶;基于MIMO-OFDM的基站测试技术研究[D];哈尔滨理工大学;2009年
10 赵雁妍;LTE下行链路中的MIMO-OFDM传输系统关键技术的仿真研究[D];西南交通大学;2014年
,本文编号:2170306
本文链接:https://www.wllwen.com/kejilunwen/wltx/2170306.html