Waveform Design and Processing for Next-Generation Radar Systems - Adaptivity, Agility, and Reliability

下一代雷达系统的波形设计和处理 - 适应性、敏捷性和可靠性

• 批准号: 1809225
• 负责人: Mojtaba Soltanalian
• 金额: $ 32.37万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1809225&HistoricalAwards=false
• 关键词: Waveform; Design; Processing; Next; Generation

Next-generation radar systems will operate in the face of fast-changing target scene parameters, demands for higher resolution and networked environments with limited resources. The goal of this project is to establish the theoretical foundations as well as the development procedures for novel extremely low-cost waveform design and processing frameworks that address the fundamental requirements of future radar systems - all in the pursuit of enhanced adaptivity, agility, and reliability. The project investigates radar waveform design and processing problems of interest through different theoretical lenses. At the same time, it translates the theoretical outcomes into more practical domains of vehicular technology and spectrum sharing. The project is thus expected to have a significant impact on the theory and practice of radar, and is of direct relevance to national and global needs. For instance, the project contributes to national defense and security efforts: in radar applications, the task of target detection/estimation relies on inference based on the collected data. The power of reliable probing waveform design and inference in a short period of time determines the level of confidence and agility we have in target determination, and as a result plays a key role in the ability of defense command or leadership to make confident and effective decisions. The project involves preparing students for engineering in the 21st century through the incorporation of practical design and problem-solving techniques into the education curriculum. Waveform design and processing for radar has a crucial role in fulfilling the promises of adaptivity, agility, and reliability: the radar performance is shown to be considerably improved by a judicious design of the probing signals and processing schemes. The arising design problems may deal with various measures of quality (including detection, estimation, and information-theoretic criteria), and moreover, the practical condition that the employed signals must belong to a limited signal set. Such diversity of design metrics and signal constraints lays the foundation for many interesting research works in waveform optimization. Additionally, waveform design and processing for next-generation radars is a topic of great interest due to the recent growing demands in increasing the number of antennas/sensors in various radar applications (thus requiring an increased agility in design and processing stages). In contrast, our current approaches are not fully adequate in handling design metrics and practical signal constraints in an agile and reliable manner. In light of such recent technological advances, the proposed work seeks to overcome the limitations of the traditional methods by studying and developing novel extremely low-cost waveform design and processing frameworks that address the emerging requirements of modern radar practice. The proposed research spans waveform design and processing problems: (i) with signal constraints that typically make the problems intractable, (ii) for robustness with a focus on system impairments and worst-case scenarios, as well as (iii) for co-existence which is deemed to be a key component in enhanced access to radio spectrum for both radar and communication users.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

下一代雷达系统将面对快速变化的目标场景参数、对更高分辨率的需求以及资源有限的网络环境。该项目的目标是建立理论基础以及开发程序，用于新型极低成本波形设计和处理框架，以满足未来雷达系统的基本要求-所有这些都是为了追求增强的自适应性，敏捷性和可靠性。该项目通过不同的理论透镜研究雷达波形设计和感兴趣的处理问题。同时，它将理论成果转化为更实际的车载技术和频谱共享领域。 因此，预计该项目将对雷达的理论和实践产生重大影响，并与国家和全球需求直接相关。例如，该项目有助于国防和安全工作：在雷达应用中，目标检测/估计任务依赖于基于收集的数据的推断。在短时间内可靠的探测波形设计和推断的能力决定了我们在目标确定方面的信心和灵活性水平，因此在国防指挥或领导能力方面发挥着关键作用，以做出自信和有效的决策。该项目涉及通过将实际设计和解决问题的技术纳入教育课程，为学生在21世纪的工程做好准备。雷达的波形设计和处理在实现自适应性、灵活性和可靠性方面起着至关重要的作用：雷达的性能可以通过探测信号和处理方案的明智设计得到显著改善。所产生的设计问题可能会涉及各种质量措施（包括检测，估计和信息理论标准），而且，实际情况下，所采用的信号必须属于一个有限的信号集。设计指标和信号约束的多样性为波形优化中许多有趣的研究工作奠定了基础。此外，下一代雷达的波形设计和处理是一个非常感兴趣的话题，这是由于最近在各种雷达应用中增加天线/传感器数量的需求不断增长（因此需要在设计和处理阶段增加灵活性）。相比之下，我们目前的方法是不完全足够的处理设计指标和实际的信号约束，在敏捷和可靠的方式。 鉴于这些最新的技术进步，拟议的工作旨在通过研究和开发新的极低成本的波形设计和处理框架，以解决现代雷达实践的新兴需求，克服传统方法的局限性。拟议的研究涵盖波形设计和处理问题：（i）具有通常使问题难以处理的信号约束，（ii）为了鲁棒性，关注系统损伤和最坏情况，（3）对于CO-该奖项反映了NSF的法定使命，并被认为是增强雷达和通信用户无线电频谱访问的关键组成部分。通过使用基金会的知识价值和更广泛的影响审查标准进行评估，

项目成果

Deep Radar Waveform Design for Efficient Automotive Radar Sensing

用于高效汽车雷达传感的深度雷达波形设计

• DOI: 10.1109/sam48682.2020.9104367
• 发表时间: 2020
• 期刊: 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM
• 作者: Khobahi, Shahin;Bose, Arindam;Soltanalian, Mojtaba
• 通讯作者: Soltanalian, Mojtaba

Fast and Robust LRSD-based SAR/ISAR Imaging and Decomposition

• DOI: 10.1109/tgrs.2022.3172018
• 发表时间: 2022
• 期刊: IEEE Transactions on Geoscience and Remote Sensing
• 影响因子: 8.2
• 作者: H. Hashempour;Majid Moradikia;Hamed Bastami;Ahmed M Abdelhadi;M. Soltanalian

DESIGN OF UNIMODULAR SEQUENCE SETS WITH GOOD CORRELATION AND COMPLEMENTARY CORRELATION PROPERTIES

• DOI: 10.1109/globalsip.2018.8646667
• 发表时间: 2018-11
• 期刊: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
• 作者: I. A. Arriaga-Trejo;Arindam Bose;A. Orozco-Lugo;M. Soltanalian

Covariance Recovery for One-Bit Sampled Non-Stationary Signals With Time-Varying Sampling Thresholds

• DOI: 10.1109/tsp.2022.3217379
• 发表时间: 2022
• 期刊: IEEE Transactions on Signal Processing
• 影响因子: 5.4
• 作者: Arian Eamaz;Farhang Yeganegi;M. Soltanalian

Generalized Cyclic Algorithms for Designing Unimodular Sequence Sets with Good (Complementary) Correlation Properties

• DOI: 10.1109/sam.2018.8448920
• 发表时间: 2018-07
• 期刊: 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)
• 作者: Arindam Bose;I. A. Arriaga-Trejo;A. Orozco-Lugo;M. Soltanalian