Blind Equalization and Channel Estimation in Data Communication Systems
数据通信系统中的盲均衡和信道估计
基本信息
- 批准号:9015587
- 负责人:
- 金额:$ 7.52万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:1991
- 资助国家:美国
- 起止时间:1991-09-01 至 1994-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research is in the area of blind equalization and channel impulse response estimation for digital communication systems, including telephone channels as well as digital radio channels. One of the main objectives of the research is to propose and analyze novel schemes for reliable initialization of the conventional decision directed equalizers. Both batch an recursive methods are considered. It is known that the second order statistics are inadequate for ISI removal since the communication channel models are nonminimum-phase in general. Therefore, emphasis is on exploitation of higher order cumulant statistics, in addition to the usual second order statistics, of the data and of appropriately defined error signals. Another objective is to design and analyze novel globally convergent blind equalizers based on second and fourth order cumulant statistics of the data.
本文的研究是在盲均衡和信道 用于数字通信系统的脉冲响应估计, 包括电话信道以及数字无线电信道。 研究的主要目标之一是提出和 分析可靠初始化的新方案, 传统的判决定向均衡器。 都是批处理递归的 方法。 据了解,第二个订单 统计数据不足以消除ISI,因为通信 信道模型通常是非最小相位的。 因此,我们认为, 重点是高阶累积量统计量的开发, 除了通常的二阶统计量外,数据和 适当定义的错误信号。 另一个目的是 设计并分析了一种新的全局收敛盲均衡器, 数据的二阶和四阶累积量统计。
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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Jitendra Tugnait其他文献
An Edge Exclusion Test for Complex Gaussian Graphical Model Selection
复杂高斯图形模型选择的边缘排除测试
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Jitendra Tugnait - 通讯作者:
Jitendra Tugnait
On Multisensor Detection of Improper Signals
- DOI:
10.1109/tsp.2018.2887404 - 发表时间:
2019-02 - 期刊:
- 影响因子:5.4
- 作者:
Jitendra Tugnait - 通讯作者:
Jitendra Tugnait
Adaptive estimation and identification for discrete systems with Markov jump parameters
- DOI:
10.1109/cdc.1981.269444 - 发表时间:
1981-12 - 期刊:
- 影响因子:0
- 作者:
Jitendra Tugnait - 通讯作者:
Jitendra Tugnait
Sparse Graph Learning Under Laplacian-Related Constraints
- DOI:
10.1109/access.2021.3126675 - 发表时间:
2021-11 - 期刊:
- 影响因子:3.9
- 作者:
Jitendra Tugnait - 通讯作者:
Jitendra Tugnait
Blind equalization and estimation of digital communication FIR channels using cumulant matching
- DOI:
10.1109/acssc.1992.269100 - 发表时间:
1992-10 - 期刊:
- 影响因子:0
- 作者:
Jitendra Tugnait - 通讯作者:
Jitendra Tugnait
Jitendra Tugnait的其他文献
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{{ truncateString('Jitendra Tugnait', 18)}}的其他基金
CIF:Small:Learning Sparse Vector and Matrix Graphs from Time-Dependent Data
CIF:小:从瞬态数据中学习稀疏向量和矩阵图
- 批准号:
2308473 - 财政年份:2023
- 资助金额:
$ 7.52万 - 项目类别:
Standard Grant
EAGER: Learning Graphical Models of High-Dimensional Time Series
EAGER:学习高维时间序列的图形模型
- 批准号:
2040536 - 财政年份:2020
- 资助金额:
$ 7.52万 - 项目类别:
Standard Grant
EAGER: Detection and Mitigation of Pilot Contamination Attacks and Related Issues in Massive MIMO Systems
EAGER:大规模 MIMO 系统中导频污染攻击及相关问题的检测和缓解
- 批准号:
1651133 - 财政年份:2016
- 资助金额:
$ 7.52万 - 项目类别:
Standard Grant
CIF: Small: Complex-Valued Statistical Signal Processing with Dependent Data
CIF:小型:具有相关数据的复值统计信号处理
- 批准号:
1617610 - 财政年份:2016
- 资助金额:
$ 7.52万 - 项目类别:
Standard Grant
Using the Channel State Information for Wireless Security Enhancement
使用信道状态信息增强无线安全性
- 批准号:
0823987 - 财政年份:2008
- 资助金额:
$ 7.52万 - 项目类别:
Standard Grant
Estimation of MIMO Wireless Communications Channels: Approaches and Applications
MIMO 无线通信信道估计:方法和应用
- 批准号:
0424145 - 财政年份:2004
- 资助金额:
$ 7.52万 - 项目类别:
Continuing Grant
Frequency-Domain Approaches to Identification of Multiple-Input Multiple-Output Systems Given Time-Domain Data
给定时域数据的多输入多输出系统辨识的频域方法
- 批准号:
9912523 - 财政年份:2000
- 资助金额:
$ 7.52万 - 项目类别:
Standard Grant
Spatio-Temporal Statistical Signal Processing For Blind Equalization and Source Separation
用于盲均衡和源分离的时空统计信号处理
- 批准号:
9803850 - 财政年份:1998
- 资助金额:
$ 7.52万 - 项目类别:
Continuing Grant
Frequency-Domain Approaches To Control-Relevant System Identification
控制相关系统辨识的频域方法
- 批准号:
9504878 - 财政年份:1995
- 资助金额:
$ 7.52万 - 项目类别:
Standard Grant
Higher Order Statistical Signal and Image Processing and Analysis
高阶统计信号和图像处理与分析
- 批准号:
9312559 - 财政年份:1994
- 资助金额:
$ 7.52万 - 项目类别:
Continuing Grant
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