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Intelligent signal processing for UWB wireless communication networks

Intelligent signal processing for UWB wireless communication networks
UWB 无线通信网络的智能信号处理
批准号:
364995-2008
负责人:
Lampe, Lutz
金额:
$11.32万
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2009
资助国家:
加拿大
项目状态:
已结题
起止时间:
2009-01-01 至 2010-12-31

项目摘要

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中文摘要
翻译
超宽带(UWB)无线传输统称为使用具有极大带宽的信号的一类无线电。虽然UWB自1900年左右所有无线通信开始以来就已经存在,但特别是在2002年美国联邦通信委员会的裁决(其允许UWB无线电的免许可操作)之后,UWB被认为是用于多种未来通信网络的有前途的物理层技术。这是因为UWB具有一些独特的特性,例如发射信号的低功率和功率谱密度、多径衰落的高分辨率以及低成本实现。UWB通信技术的巨大兴趣从参与标准化过程的许多主要工业参与者和IEEE期刊中的众多特刊以及专门针对UWB的IEEE会议中可以看出。在这个项目中,我们将解决一些基本问题和设计挑战,需要解决的UWB的全部潜力可以实现之前。我们将专注于脉冲无线电UWB(IR-UWB),这是UWB的原始风味,也是具有严格成本,复杂性和能量限制的应用的首选解决方案,如在通信网络中遇到的分布式控制,环境监测,跟踪,我们的研究将针对智能信号处理算法,使(1)频谱敏捷(2)用于UWB网络中的高效通信的协作传输,(3)用于基于位置的网络应用的高精度测距,以及(4)用于UWB收发器的低复杂度调制和鲁棒检测。我们在这个项目中与几个行业合作伙伴合作,他们对利用IR-UWB技术在各个市场中增强和多样化其产品非常感兴趣。通过在该项目内进行的新信号处理算法的试验台和硬件实施,将进一步促进向他们和其他加拿大公司的技术转让。
英文摘要
Ultra-wideband (UWB) wireless transmission collectively refers to a class of radios using signals with an extremely large bandwidth. While UWB has been around since the beginning of all wireless communications at around 1900, it was especially after the U.S. Federal Communications Commission's ruling in 2002, which allowed license-free operation of UWB radios, that UWB has been considered as promising physical-layer technology for a manifold of future communication networks. This is because of several features unique to UWB, such as low power and power-spectral density of the transmit signal, high resolution of multipath fading, and low-cost implementation. The huge interest in UWB communication technology is evident from the many major industrial players being involved in the standardization process and the numerous special issues in IEEE journals, as well as IEEE conferences dedicated to UWB. In this project, we will tackle a number of fundamental problems and design challenges that need to be solved before the full potential of UWB can be realized. We will focus on impulse-radio UWB (IR-UWB), which is the original flavor of UWB and the preferred solution for applications with stringent cost, complexity, and energy constraints, as encountered in communication networks for e.g. distributed control, environmental monitoring, tracking, resource management etc. Our research will be directed towards intelligent signal processing algorithms that enable (1) spectrally agile (cognitive) UWB devices for peaceful coexistence with incumbent services, (2) cooperative transmission for efficient communication in UWB networks, (3) high-precision ranging for location-based network applications, and (4) low-complexity modulation and robust detection for UWB transceivers. We have partnered with several industry collaborators in this project, who have a keen interest in exploiting IR-UWB technology to enhance and diversify their products in various markets. The technology transfer to them and other Canadian companies will further be facilitated by testbed and hardware implementation of new signal processing algorithms undertaken within this project.
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