题名 | 分布式无线能量通信系统研究 |
其他题名 | RESEARCH ON DISTRIBUTED WIRELESS ENERGY COMMUNICATION SYSTEM
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姓名 | |
学号 | 11649129
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学位类型 | 硕士
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学位专业 | 信息与通信工程
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导师 | 贡毅
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论文答辩日期 | 2018-06-07
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论文提交日期 | 2018-07-05
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学位授予单位 | 哈尔滨工业大学
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学位授予地点 | 深圳
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摘要 | 随着近些年来物联网技术的迅猛发展,传感器网络在其中的地位也越发重要。无源传感器网络起源于无线传感器网络,在无线传感网络的基础上融入无线充电技术,使其既具有无线传感器网络的优点,又因融入无源技术摆脱了电池的限制,大大的增加传感器网络的灵活性和寿命。本文是在无源传感器网络的基础上对能量信息传输做了相关研究,采用了理论分析,计算机仿真以及实物设计相结合的办法来验证研究的结果。主要进行了一下几个方面的研究工作:1从数据传输资源分配、无线携能通信、能量捕设备组网以及无线信道评估四个方面深入了解无线能量通信当前阶段国内国外的研究现状;2介绍了三种无线能量传输技术的基本原理和电路组成,并分析和比较各自优缺点;随后介绍了能量波束成型的原理,并对分布式能量波束成型与传统能量波束成型做了比较;对无线信道估计方法做了归纳和分类,介绍了几种常用的信道估计方法并进行了细致的分析;3重点在无源传感器网络的基础上提出了一种分布式能量信息传输模型,使用基于能量检测反馈的信道估计算法并在此基础上加以改进,使其更能适应无源传感网络,并对信道评估的结果进行理论分析和仿真。为了使系统能够获得最大吞吐量,还对功率和时间的分配进行了优化,并对优化的结果进行了分析和仿真。在第五章中,我们分两个模块对无源传感器网络的电路进行设计,并对设计的电路进行测试和分析。 |
其他摘要 | With the rapid development of Internet of Things technology in recent years, the status of sensor networks has become more and more important. Passive sensor networks originate from wireless sensor networks. Wireless power transfer technologies are integrated on the basis of wireless sensor networks, not only making them have the advantages of wireless sensor networks, but also get rid of the limitations of batteries, and the sensor networks of flexibility and longevity also have greatly increasing.This article is related to the energy information transmission in the passive sensor network circuit system, using a combination of theoretical analysis and computer simulation methods to verify the results of the study. It mainly carried out research work in several aspects: from the aspects of data transmission resource allocation, simultaneous wireless information and power transfer, energy harvesting equipment networking, and wireless channel estimation, the current status of research on wireless energy communication network at home and abroad was deeply studied; The basic principles and circuit composition of wireless energy transmission technologies are analyzed and compared with each other. The principle of energy beamforming is introduced, and a comparison is made between distributed energy beam forming and traditional energy beamforming. Then the wireless channel estimation methods are summarized and classified. Several commonly used channel estimation methods are introduced and analyzed in detail.Focused on the distributed energy information transmission model, the distributed energy and information transmission model has been studied emphatically. An energy feedback channel estimation algorithm has been introduced. To make it more adaptable to passive sensor networks , the algorithm has been improved ,then we provides theoretical analysis and simulation of the results of channel estimation. At the same time, in order to achieve the maximum throughput of the system, power and time are optimized, and the optimized results are analyzed and simulated. In the fifth chapter, we design the circuit of the passive sensor network in two modules and test and analyze the designed circuit. |
关键词 | |
其他关键词 | |
语种 | 中文
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培养类别 | 联合培养
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成果类型 | 学位论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/75286 |
专题 | 工学院_电子与电气工程系 |
作者单位 | 南方科技大学 |
推荐引用方式 GB/T 7714 |
李炎奎. 分布式无线能量通信系统研究[D]. 深圳. 哈尔滨工业大学,2018.
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