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SWIFT-SAT: Unlimited Radio Interferometry: A Hardware-Algorithm Co-Design Approach to RAS-Satellite Coexistence

SWIFT-SAT: Unlimited Radio Interferometry: A Hardware-Algorithm Co-Design Approach to RAS-Satellite Coexistence
SWIFT-SAT:无限无线电干涉测量:RAS 卫星共存的硬件算法协同设计方法
批准号:
2332534
负责人:
Hongbin Li
金额:
$70.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2024
资助国家:
美国
项目状态:
未结题
起止时间:
2024-04-15 至 2027-03-31

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中文摘要
翻译
射电天文学改变了人们对宇宙的认知,为星系、恒星和其他宇宙事件的性质和行为提供了有价值的见解。射电天文学服务(RAS)的一个基本要求是获得没有来自其他来源的射频干扰(RFI)的频谱。射频干扰可以模糊微弱的天体,产生虚假信号,降低射电望远镜的灵敏度,并导致数据的严重丢失和带宽限制。传统上,RAS在僻静地区运营,利用周围地形将其与人口稠密地区隔离开来,或者在无线电静默区内运营,对人类产生的RFI执行严格的规定。虽然这些措施可以有效缓解地面RFI,例如电视/广播电台、移动的电话和WiFi网络,但它们无法保护RAS免受来自太空卫星的RFI。随着越来越多的巨型星座卫星被SpaceX等公司发射到太空,卫星RFI对RAS构成了严重威胁。一方面,卫星运营商必须进行合作,避免照射地面RAS接收器并最大限度地减少RFI。另一方面,RAS将不得不加强其在不可避免的强劲RFI中的操作能力。通过利用一种新的模数采样方法,该项目旨在开发尖端的电路设计和信号处理算法,以增强射电望远镜对RFI的弹性。它在优化RAS数据的收集和处理方面具有巨大潜力,同时也促进了无线电频谱中卫星通信和科学研究的共存。该项目的主要目标是在卫星发射机产生的强射频干扰(RFI)无法在地理上避免的情况下,提高射电天文学服务的业务能力。为了以电子方式保护RAS系统,关键的一步是确保RAS接收器的线性度。接收器中的非线性或饱和会产生互调产物,从而消除整个观测波段。使用传统技术是昂贵的,例如,高动态范围(HDR)低噪声放大器和用于放大和数字化的高分辨率模数转换器(ADC),以增强RAS接收机的线性度。这是因为这样的增强可能导致RAS数据的雪崩,这是众所周知的非常大的大小。拟议的研究采取了基于模采样的方法来操作无线电干涉测量鲁棒性对RFI。具体而言,模采样在使用常规分辨率ADC进行采样之前,将超出范围的输入信号折叠到动态范围内。这允许从低动态范围(LDR)测量恢复HDR信息。基于模采样方法,提出了三个方面的研究方向:(1)一个鲁棒的超分辨率无线电干涉测量的信号处理框架,使接收机能够不受固定动态范围的限制;(2)可扩展的模ADC设计,用于在RFI存在的情况下展示无限的干涉测量能力;该奖项反映了NSF的法定使命,并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,被认为值得支持。
英文摘要
Radio astronomy has transformed the perception of the universe, providing valuable insights into the properties and behaviors of galaxies, stars, and other cosmic events. An essential requirement of radio astronomy service (RAS) is access to a spectrum devoid of radio frequency interference (RFI) from other sources. RFI can obscure faint astronomical objects, create false signals, reduce the sensitivity of radio telescopes, and lead to significant loss of data and bandwidth limitation. Traditionally, RAS operates in secluded regions, using the surrounding terrain to shield it from populated areas, or inside a radio quiet zone that enforces strict regulations on human-generated RFI. While these measures are effective in mitigating terrestrial RFI, such as TV/radio stations, mobile phones, and WiFi networks, they are unable to protect RAS against RFI originating from satellites in space. With an increasing number of mega-constellation satellites being launched into space by companies like SpaceX, satellite RFI presents a grave threat to RAS. On the one hand, it is imperative for satellite operators to cooperate, avoiding illuminating ground RAS receivers and minimizing the RFI. On the other, the RAS will have to strengthen its ability to operate amidst strong unavoidable RFI. By leveraging a novel modulo sampling approach, this project aims to develop cutting-edge circuit designs and signal processing algorithms that will bolster the resilience of radio telescopes against RFI. It holds great potential for optimizing the collection and processing of RAS data, while also fostering the coexistence of satellite communications and scientific research in the radio spectrum. The primary goal of this project is to enhance the operational capabilities of radio astronomy service (RAS) in the presence of strong radio frequency interference (RFI) arising from satellite transmitters that cannot be avoided geographically. To protect RAS systems electronically, a crucial step is to ensure the linearity of RAS receivers. Nonlinearity or saturation in receivers generates intermodulation products that can wipe out the entire observing band. It is costly to use conventional technologies, e.g., high-dynamic range (HDR) low-noise amplifiers and high-resolution analog-to-digital converters (ADCs) for amplification and digitization, to enhance the linearity of RAS receivers. This is because such enhancements can result in an avalanche of RAS data, which is known for its very large size. The proposed research takes a modulo sampling-based approach to operate radio interferometry robustly against RFI. Specifically, modulo sampling folds the out-of-range input signal to within the dynamic range before taking samples using a regular-resolution ADC. This allows the recovery of HDR information from low-dynamic range (LDR) measurements. Building on the modulo sampling approach, the proposed research encompasses three thrusts: (1) a signal processing framework for robust and super-resolution radio interferometry, which enables the receiver to operate without being limited by a fixed dynamic range; (2) scalable modulo ADC design for demonstration of unlimited interferometry capability in the presence of RFI; and (3) experimentation incorporating the modulo ADCs for comprehensive testing and evaluation.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.
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