CIF:Medium:Collaborative Research:Low Resolution Sampling with Generalized Thresholds

CIF：中：协作研究：具有通用阈值的低分辨率采样

基本信息

批准号：
1703635
负责人：
Arnold Swindlehurst
金额：
$ 39.99万
依托单位：
University of California-Irvine
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-05-01 至 2022-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1703635&HistoricalAwards=false
关键词：
CIF Medium Collaborative Research Low

项目摘要

CIF: Medium: Collaborative Research:Low-Resolution Sampling with Generalized ThresholdsJian Li, Lee Swindlehurst, and Mojtaba Soltanalian AbstractQuantization of signals of interest is a necessary first step in digital signal processing applications. When signals across a wide frequency band are of interest, a fundamental tradeoff between sampling rate, amplitude quantization precision, cost, and power consumption is encountered. The investigators study low resolution sampling techniques with general thresholds, which are affordable, technically feasible, easy to apply, energy-efficient, and consistent with technological trends. The enormous gains in capacity and spectral efficiency, for example, that could be provided by a successful millimeter wave (mm-wave) massive multiple-input multiple output implementation could have a revolutionary effect on the performance of wireless systems nearly everywhere we use them: at home, at work, at school, commuting via public transportation or by plane, shopping, at restaurants, recreational venues, sporting events, and so on. Besides consumer applications, there are many military- and security-related scenarios where our systems could be used.This project involves advancing fundamental knowledge in developing dynamic energy-efficient and cost-effective sampling techniques and applies engineering principles to address the critical needs of several important and related applications. Specifically, this project involves addressing significant open questions, including deterministic identifiability, performance bounds, and impact of thresholding pattern on spectrum sensing and array processing, radio frequency interference mitigation, and mm-wave communications to gain fundamental insights into the novel paradigm of low resolution sampling with general thresholds, devising novel signal processing algorithms, including effective and efficient sparse signal recovery techniques and parametric maximum likelihood methods for enhanced performance, and evaluating and demonstrating the performance using measured data. This project also involves preparing students for engineering in the 21st century through the incorporation of practical design and problem-solving techniques into both the education curriculum.

CIF：中：协作研究：具有广义阈值的低分辨率采样Jian Li、Lee Swindlehurst 和Mojtaba Soltanalian 摘要感兴趣信号的量化是数字信号处理应用中必要的第一步。当对宽频带上的信号感兴趣时，需要在采样率、幅度量化精度、成本和功耗之间进行基本权衡。研究人员研究了具有一般阈值的低分辨率采样技术，这些技术价格实惠、技术可行、易于应用、节能且符合技术趋势。例如，成功的毫米波 (mm-wave) 大规模多输入多输出实现可以带来容量和频谱效率的巨大提升，这可能会对我们使用的几乎所有无线系统的性能产生革命性的影响：在家、在工作场所、在学校、乘坐公共交通工具或飞机上下班、购物、在餐馆、娱乐场所、体育赛事等。除了消费者应用之外，我们的系统还可以用于许多军事和安全相关的场景。该项目涉及推进开发动态节能和具有成本效益的采样技术的基础知识，并应用工程原理来满足多个领域的关键需求重要和相关的应用程序。具体来说，该项目涉及解决重要的开放性问题，包括确定性可识别性、性能界限以及阈值模式对频谱感知和阵列处理、射频干扰缓解和毫米波通信的影响，以获得对低分辨率新颖范式的基本见解使用通用阈值进行采样，设计新颖的信号处理算法，包括有效且高效的稀疏信号恢复技术和用于增强性能的参数最大似然方法，以及使用测量数据评估和演示性能。该项目还包括通过将实践设计和解决问题的技术纳入教育课程，帮助学生为 21 世纪的工程学做好准备。

项目成果

期刊论文数量（30）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Supervised and Semi-Supervised Learning for MIMO Blind Detection With Low-Resolution ADCs

使用低分辨率 ADC 进行 MIMO 盲检测的监督和半监督学习

DOI：
10.1109/twc.2020.2964661
发表时间：
2019-06-10
期刊：
IEEE Transactions on Wireless Communications
影响因子：
10.4
作者：
Ly V. Nguyen;D. T. Ngo;N. Tran;A. L. Swindlehurst;D. Nguyen
通讯作者：
D. Nguyen

Dynamic Hybrid Beamforming With Low-Resolution PSs for Wideband mmWave MIMO-OFDM Systems

用于宽带毫米波 MIMO-OFDM 系统的具有低分辨率 PS 的动态混合波束成形

DOI：
10.1109/jsac.2020.3000878
发表时间：
2020-06-08
期刊：
IEEE Journal on Selected Areas in Communications
影响因子：
16.4
作者：
Hongyu Li;Ming Li;Qian Liu;A. L. Swindlehurst
通讯作者：
A. L. Swindlehurst

Spatial Sigma-Delta Modulation for the Massive MIMO Downlink

用于大规模 MIMO 下行链路的空间 Sigma-Delta 调制

DOI：
10.1109/ieeeconf44664.2019.9048918
发表时间：
2019-11-01
期刊：
2019 53rd Asilomar Conference on Signals, Systems, and Computers
影响因子：
0
作者：
Mingjie Shao;Wing;Qiang Li;A. L. Swindlehurst
通讯作者：
A. L. Swindlehurst

Discrete Phase Shift Design for Practical Large Intelligent Surface Communication

实用大型智能地面通信的离散相移设计

DOI：
10.1109/pacrim47961.2019.8985103
发表时间：
2019-08-01
期刊：
2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM)
影响因子：
0
作者：
Jindan Xu;W. Xu;A. L. Swindlehurst
通讯作者：
A. L. Swindlehurst

Direction Finding with 2D Arrays Using Spatial Sigma-Delta ADCs

使用空间 Sigma-Delta ADC 通过 2D 阵列进行测向

DOI：
10.1109/spawc51858.2021.9593242
发表时间：
2021-09
期刊：
2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC
影响因子：
0
作者：
Pirzadeh, Hessam;Rao, Shilpa;Lee Swindlehurst, A.
通讯作者：
Lee Swindlehurst, A.