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无线信道高速通信已经成为未来通信系统的一个关键特征,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、无线定位(E911)、高速移动互联网和无线信道视频传输。这些应用中对更高信息容量的需求促使使用宽带无线信道,以提供更宽的带宽和更高的数据速率。这种需求也推动了多用户通信方案的发展,以允许用户共享相同的物理信道;从而有助于实现更高的数据速率。限制这种多用户通信系统性能的一个关键挑战是由耦合通信信道、用户之间的干扰和信道衰落条件引入的失真。本研究旨在研究和开发自适应接收机,通过根据通信环境调整其性能来对抗这种失真。为了降低计算复杂度和提高性能水平,本研究通过利用空间、数据和模型结构来研究和开发宽带多用户通信的高效自适应接收机。这样做,预期所得到的方案将有助于提高数据速率,降低训练开销,降低误码率,提高信噪比,并有助于减轻符号间干扰,用户间干扰和噪声的综合影响。这些方案可让多个用户以有效的方式共享同一时隙和频带,从而增加宽频无线网络的容量。本研究的重点是时域和频域均衡技术,后者受到越来越多的关注,因为它已被接受为无线城域网的IEEE 802.16标准。该研究也与其他无线应用相关,如无线定位(E911),它已成为未来蜂窝系统中必不可少的公共安全组成部分。这是因为这项工作能够开发增强的自适应技术,这些技术对快速信道衰落、低信噪比条件和严重的多径传播情况具有鲁棒性,所有这些都是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
CIF:小:非对称网络和数据结构的推理
- 批准号:
1524250 - 财政年份:2015
- 资助金额:
$ 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
- 批准号:
1407712 - 财政年份:2014
- 资助金额:
$ 38万 - 项目类别:
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
- 批准号:
1011918 - 财政年份:2010
- 资助金额:
$ 38万 - 项目类别:
Continuing Grant
NSF Workshop on Distributed Processing over Cognitive Networks
NSF 认知网络分布式处理研讨会
- 批准号:
0956382 - 财政年份:2009
- 资助金额:
$ 38万 - 项目类别:
Standard 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
- 批准号:
0942936 - 财政年份:2009
- 资助金额:
$ 38万 - 项目类别:
Standard Grant
Adaptive Sampling Strategies with Application to Water Resource Management
自适应采样策略在水资源管理中的应用
- 批准号:
0725441 - 财政年份:2007
- 资助金额:
$ 38万 - 项目类别:
Standard Grant
Cyber Systems: Adaptive Distributed Systems Based on Cooperative and Combination Strategies
网络系统:基于合作和组合策略的自适应分布式系统
- 批准号:
0601266 - 财政年份:2006
- 资助金额:
$ 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
- 批准号:
0401188 - 财政年份:2004
- 资助金额:
$ 38万 - 项目类别:
Standard Grant
Estimation and Control with Bounded Data Uncertainties
有界数据不确定性的估计和控制
- 批准号:
9820765 - 财政年份:1999
- 资助金额:
$ 38万 - 项目类别:
Continuing Grant
Fast Reliable Algorithms for Structured Computations
用于结构化计算的快速可靠的算法
- 批准号:
9732376 - 财政年份:1998
- 资助金额:
$ 38万 - 项目类别:
Standard Grant
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