Research on Adaptive Non-Least Squares Linear DS/CDMA Receivers

自适应非最小二乘线性DS/CDMA接收机研究

基本信息

  • 批准号:
    9725695
  • 负责人:
  • 金额:
    $ 1.8万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    1997
  • 资助国家:
    美国
  • 起止时间:
    1997-09-01 至 1999-12-31
  • 项目状态:
    已结题

项目摘要

In search of Direct Sequence Code Division Multiple Access (DS/CDMA) receiver designs with favorable cost versus performance characteristics, we consider adaptive linear tap-weight filters. The architecture under consideration is the most conventional, but the chosen design optimization criterion is not. Based on stochastic approximation concepts, we propose the development of recursive algorithms that minimize directly the induced probability of error (average Bit-Error-Rate). The novelty of this approach is the incorporation of the performance evaluation measure directly into the design process. The nature of this project involves feasibility studies, development, and theoretical analysis of the induced linear filter Bit-Error-Rate surfaces. We plan to focus initially on memoryless, time-invariant DS/CDMA channels and then we aim at the development and performance evaluation of pertinent receivers that operate successfully in multipath fading channels. In terms of the impact of the proposed work, we recognize that this line of research goes well beyond DS/CDMA communications and may lead to studies for non-least squares (possibly MBER) optimization of linear and non-linear filters.
为了寻找性价比良好的直接序列码分多址(DS/CDMA)接收机设计,我们考虑了自适应线性抽头权重滤波器。正在考虑的体系结构是最传统的,但选择的设计优化标准不是。基于随机逼近的概念,我们提出了直接最小化诱导错误概率(平均误码率)的递归算法的发展。这种方法的新奇之处在于将绩效评估措施直接纳入设计过程。该项目的性质包括诱导线性滤波误码率曲面的可行性研究、开发和理论分析。我们计划首先将重点放在无记忆、时不变的DS/CDMA信道上,然后我们的目标是开发和评估在多径衰落信道中成功工作的相关接收机。就拟议工作的影响而言,我们认识到这一研究远远超出了DS/CDMA通信,并可能导致对线性和非线性滤波器的非最小二乘(可能是MBER)优化的研究。

项目成果

期刊论文数量(0)
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Stella Batalama其他文献

Stella Batalama的其他文献

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{{ truncateString('Stella Batalama', 18)}}的其他基金

NeTS: Cognitive Networking of the Oceans: Localization and Tracking Fundamentals
NeTS:海洋认知网络:定位和跟踪基础知识
  • 批准号:
    1704813
  • 财政年份:
    2017
  • 资助金额:
    $ 1.8万
  • 项目类别:
    Standard Grant
NeTS: Cognitive Networking of the Oceans: Localization and Tracking Fundamentals
NeTS:海洋认知网络:定位和跟踪基础知识
  • 批准号:
    1753406
  • 财政年份:
    2017
  • 资助金额:
    $ 1.8万
  • 项目类别:
    Standard Grant
ITR: Development of a Novel Short-Data-Record Adaptive Filtering Framework for Rapidly Changing Communications Environments
ITR:针对快速变化的通信环境开发新型短数据记录自适应过滤框架
  • 批准号:
    0219903
  • 财政年份:
    2002
  • 资助金额:
    $ 1.8万
  • 项目类别:
    Continuing Grant

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