EARS: Enabling Opportunistic Environmental Monitoring with Non-Uniform Sampling and Processing Circuits

该项目的最终愿景是帮助解决全球气候变化问题，这些问题导致环境状况变得更加不可预测，可能对人类社会造成可怕的后果。拟议项目旨在通过不需要专用发射机或带宽的廉价频谱感测设备，为在专用射频波段运行的昂贵、复杂的监测设备提供替代解决方案。在美国，政府机构每年花费数十亿美元来开发、维护和运营其遥感资产，但仍然无法实现连续的环境监测。该项目解决了持续和无处不在的全球环境监测的巨大挑战，通过调查关键的使能技术，朝着众包全球环境传感系统的愿景取得进展。同时，该项目计划将研究整合到K-12推广计划中，并在本科和研究生阶段教育学生。研究成果将通过学术传播和教育视频与社区分享。这项研究的技术目标是通过一种新的RF传感模式，利用主动和被动遥感以及低成本按需频谱传感硬件和算法，实现机会主义的环境监测。传感硬件的目标是在100 MHz至5 GHz的宽频谱环境信号上提供机会信号（SoOp）反射测量。此外，由于所需功能的相似性，研究成果适用于无线通信中的其他频谱感知挑战。其智力价值在于通过应用、算法和硬件层面的创新展示环境监测方面的新能力。在应用层面，拟议的研究将利用自由环境信号来执行反射测量，使用从100 MHz（FM收音机）到5GHz（WiFi）的SoOps与GPS/GNSS，军事通信卫星（MilComSat），XM，LTE，GSM之间的目标是前所未有的环境属性的按需感测。在硬件层面，捷变接收机架构将利用非均匀采样（NUS）模数转换器（ADC），根据输入信号内容自动调整采样速率。这潜在地将实现相对于现有设计的更高效的频谱感测硬件，因为仅在必要时生成样本。基于这种接收器架构，该项目将进一步探索新型NUS数字信号处理算法，这些算法直接对NUS-ADC输出端的非均匀样本进行操作，从而避免了现有NUS设计中所需的高功耗插值电路。

The ultimate vision of this project is to help address global climate change issues, which have caused environmental conditions to become much less predictable with potentially dire consequences for the human society. The proposed project aims to provide an alternative solution to expensive, complex monitoring equipment operating in dedicated radio-frequency (RF) bands through inexpensive spectrum sensing equipment that requires no dedicated transmitters or bandwidth. In the US, government agencies spend billions of dollars every year to develop, maintain, and operate their remote sensing assets, but are still unable to achieve continuous environmental monitoring. This project addresses the Grand Challenge of continuous and ubiquitous global environmental monitoring, making progress towards the vision of a crowd-sourced, global environmental sensing system by investigating the key enabling technologies. Meanwhile, this project plans to integrate the research into K-12 outreach programs, and educate students at both the undergraduate and graduate levels. The research outcomes will be shared with the community via academic dissemination and educational videos.The technical objective of this research is to enable opportunistic environmental monitoring via a novel RF sensing modality exploiting aspects of active and passive remote sensing, as well as low-cost on-demand spectrum sensing hardware and algorithms. The sensing hardware aims to provide signal-of-opportunity (SoOp) reflectometry over a wide spectrum of ambient signals from 100 MHz to 5 GHz. In addition, the research outcomes are applicable to other spectrum sensing challenges in wireless communications due to the similarity of required functionalities. The intellectual merit is to demonstrate new capabilities in environmental monitoring via application, algorithm, and hardware level innovations. At the application level, the proposed research will leverage free ambient signals to perform reflectometry, using SoOps from 100MHz (FM radio) to 5GHz (WiFi) with GPS/GNSS, Military Communication Satellite (MilComSat), XM, LTE, GSM in between with the goal of unprecedented on-demand sensing of environmental properties. At the hardware level, an agile receiver architecture will leverage non-uniformly sampled (NUS) analog-to-digital converters (ADCs) that automatically adjust the sample rate depending on the input signal content. This potentially will enable more efficient spectrum sensing hardware relative to existing designs, as the samples are generated only when necessary. Based on this receiver architecture, this project will further explore novel NUS digital signal processing algorithms that operate directly on the non-uniform samples at the output of the NUS-ADC, thus avoiding the power-hungry interpolation circuitry required in existing NUS designs.