High-Performance Adaptive Receivers for Broadband Multi-User Communications
用于宽带多用户通信的高性能自适应接收器
基本信息
- 批准号:0208573
- 负责人:
- 金额:$ 38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2002
- 资助国家:美国
- 起止时间:2002-09-01 至 2006-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
High-Performance Adaptive Receivers for Broadband Multi-User CommunicationsHigh speed communications over wireless channels has emerged as a key feature of future communications systems due in part to the explosive interest in information technology applications, including wireless sensor networks, mobile wearable systems, mobile computing, wireless location (E911), high-speed mobileinternet, and video transmission over wireless channels. The demand for higher information capacity in these applications has motivated the use of broadband wireless channels in order to provide wider bandwidth and higher data rates. This demand has also motivated the development of multi-user communicationschemes in order to allow users to share the same physical channel; thereby contributing to even higher data rates. A key challenge that limits the performance of such multi-user communications systems is the distortion introduced by the coupled communication channels, by the interference among users and by thechannel fading conditions. This research aims at studying and developing adaptive receivers that can combat such distortions by adapting their performance in accordance to the communications environment.The research studies and develops efficient adaptive receivers for broadband multi-user communications by exploiting spatial, data, and model structures in order to reduce computational complexity and increase performance level. In so doing, it is expected that the resulting schemes will help increase data rates, loweroverhead due to training, lower bit-error-rate, improve signal-to-noise ratio, and help mitigate the ombined effects of inter-symbol interference, inter-user interference, and noise.Such schemes would increase the capacity of broadband wireless networks by allowing multiple users to share the same time slot and frequency band in an efficient manner. This study focuses onboth time-domain and frequency-domain equalization techniques, with the latter receiving increasing attention since it has been accepted as IEEE 802.16 Standard for Wireless Metropolitan AreaNetworks. The research is also relevant to other wireless applications such as wireless location (E911), which has emerged as an essential public safety component of future cellular systems. This is because this work enables the development of enhanced adaptive techniques that are robust to fast channelfading, low signal-to-noise ratio conditions, and severe multipath propagation situations, all of which are characteristic of the E911 environment
宽带多用户通信的高性能自适应接收器已成为无线渠道上的速度通信,已成为未来通信系统的关键特征,部分原因是对信息技术应用的爆炸性兴趣,包括无线传感器网络,移动可穿戴系统,移动计算,移动计算,移动计算,,移动计算,,移动计算无线位置(E911),高速移动网络和无线通道的视频传输。在这些应用程序中,对更高信息能力的需求促使使用宽带无线通道,以提供更大的带宽和更高的数据速率。这种需求还促使多用户通信化学的开发,以便用户共享相同的物理渠道。从而导致更高的数据速率。限制此类多用户通信系统性能的主要挑战是耦合通信渠道,用户之间的干扰和thechannel褪色条件引起的失真。这项研究旨在研究和开发自适应接收器,可以根据通信环境调整其性能来打击这种扭曲。降低计算复杂性并提高性能水平。这样一来,预计由此产生的方案将有助于提高数据速率,由于训练,较低的位率率,提高信噪比,并有助于减轻符号间干扰的粘附效应,Inter Inter, - 用户干扰和噪声。类似方案将通过允许多个用户以有效的方式共享相同的时间插槽和频段来增加宽带无线网络的能力。这项研究集中在遍布时间域和频域均衡技术,后者受到越来越多的关注,因为它已被接受为IEEE 802.16无线都市Areanetworks的标准。该研究还与其他无线应用程序(例如无线位置(E911))相关,该应用已成为未来蜂窝系统的重要公共安全组成部分。这是因为这项工作可以开发增强的自适应技术,这些技术对快速通道,低信噪比条件以及严重的多径传播情况有牢固的发展,所有这些情况都是E911环境的特征
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ali Sayed其他文献
Psychology of Craving
贪爱心理学
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
S. Sharma;B. Nepal;C. S. Moon;Anthony Chabenne;A. Khogali;Co Ojo;Esther Hong;Rochelle Gaudet;Ali Sayed;Amanda Jacob;Mujtaba Murtuza;Michelle L. Firlit - 通讯作者:
Michelle L. Firlit
Ali Sayed的其他文献
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{{ truncateString('Ali Sayed', 18)}}的其他基金
CIF: Small: Inference over Asymmetric Network and Data Structures
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1524250 - 财政年份:2015
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$ 38万 - 项目类别:
Standard Grant
Online Learning in Big-Data Stream Mining
大数据流挖掘在线学习
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1407712 - 财政年份:2014
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Standard Grant
CIF: Large: Collaborative Research: Cooperation and Learning Over Cognitive Networks
CIF:大型:协作研究:认知网络上的合作与学习
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1011918 - 财政年份:2010
- 资助金额:
$ 38万 - 项目类别:
Continuing Grant
CIF: SMALL: Explorations and Insights into Adaptive Networks, Animal Flocking Behavior, and Swarm Intelligence
CIF:小:对自适应网络、动物聚集行为和群体智能的探索和见解
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0942936 - 财政年份:2009
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$ 38万 - 项目类别:
Standard Grant
NSF Workshop on Distributed Processing over Cognitive Networks
NSF 认知网络分布式处理研讨会
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0956382 - 财政年份:2009
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$ 38万 - 项目类别:
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Adaptive Sampling Strategies with Application to Water Resource Management
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0725441 - 财政年份:2007
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Standard Grant
Cyber Systems: Adaptive Distributed Systems Based on Cooperative and Combination Strategies
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0601266 - 财政年份:2006
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$ 38万 - 项目类别:
Continuing Grant
Advanced Signal Processing for Ultra-Wide-Band (UWB) Communications in Wireless Networks
无线网络中超宽带 (UWB) 通信的高级信号处理
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0401188 - 财政年份:2004
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$ 38万 - 项目类别:
Standard Grant
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9820765 - 财政年份:1999
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Fast Reliable Algorithms for Structured Computations
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9732376 - 财政年份:1998
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Standard Grant
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