CAREER: A Unifying Signal Processing Framework for Estimating Statistical Channel Quality Measures In Wireless Communications

职业:用于估计无线通信中统计信道质量测量的统一信号处理框架

基本信息

  • 批准号:
    0133841
  • 负责人:
  • 金额:
    --
  • 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:
    2002-01-15 至 2008-02-29
  • 项目状态:
    已结题

项目摘要

0133841Tepedelenlioglu, CihanArizona State UniversityIn wireless broadband communications, the distortion that the communication medium (`the channel') causes on the transmitted signal, warrants accurate channel models in order to characterize and mitigate the distortion. These models need to take into account the mobility of the transmitter and receiver, the possible presence of a line-of-sight between the communicators, and the presence of noise and interference, all of which are parameters that quantify the channel quality, and affect the performance of the communication system. It is, therefore, of interest to construct such models, and use these models to estimate these statistical channel quality measures. It is the goal of this research to construct and utilize a signal processing framework to estimate these channel quality measures, which is expected to aid in the design of broadband systems with improved performance. More specifically, in the course of this research, the PI will construct optimal (maximum likelihood and minimum variance) as well as moment-based estimators for channel quality indicators such as the maximum Doppler spread, signal to interference plus noise ratio, and the Ricean factor for broadband systems such as OFDM. After characterizing the deleterious effects of the time-selective and frequency-selective channel on general block transmission systems, for which OFDM is a special case, the PI will devise generalized OFDM transceivers that reduce the adverse effects of the inter-carrier interference. Hence, the research will focus on the adverse effects of the randomly time-varying channel on broadband systems and propose novel, low-complexity remedies.
0133841Tepedelenlioglu,Cihan 亚利桑那州立大学在无线宽带通信中,通信介质(“信道”)对传输信号造成的失真需要准确的信道模型来表征和减轻失真。这些模型需要考虑发射机和接收机的移动性、通信器之间可能存在的视线以及噪声和干扰的存在,所有这些都是量化信道质量并影响通信系统性能的参数。因此,构建这样的模型并使用这些模型来估计这些统计信道质量测量是有意义的。本研究的目标是构建和利用信号处理框架来估计这些信道质量度量,这有望有助于设计具有改进性能的宽带系统。更具体地说,在本研究过程中,PI 将为信道质量指标构建最优(最大似然和最小方差)以及基于矩的估计器,例如最大多普勒扩展、信号干扰加噪声比以及 OFDM 等宽带系统的莱斯因子。在描述了时间选择性和频率选择性信道对一般块传输系统(OFDM 是一个特例)的有害影响后,PI 将设计通用 OFDM 收发器,以减少载波间干扰的不利影响。因此,研究将重点关注随机时变信道对宽带系统的不利影响,并提出新颖的、低复杂性的补救措施。

项目成果

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cihan tepedelenlioglu其他文献

cihan tepedelenlioglu的其他文献

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{{ truncateString('cihan tepedelenlioglu', 18)}}的其他基金

Distributed and Robust Estimation for Cyberphysical Systems using a Nonlinear Consensus Approach
使用非线性共识方法对网络物理系统进行分布式鲁棒估计
  • 批准号:
    1307982
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
CIF: Small: Stochastic Ordering of Wireless Systems
CIF:小:无线系统的随机排序
  • 批准号:
    1117041
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
    Standard Grant

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