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Geneva Ecola

Publications and source records attributed to Geneva Ecola.

2 recordsLinked to original sources

First-Principles Channel Model and Capacity-Achieving Transmission Scheme in Thermal Noise Backscatter Links

Thermal noise communication systems transmit information by modulating thermal radiation, eliminating the need for a dedicated signal power source and making them attractive solutions for low-power sensor networks. Their efficiency enables long-lived, unobtrusive operation, which is valuable in the Internet of Things, electromagnetic interference-sensitive environments, and RFID tag systems. However, a limited understanding of the wireless channel model and efficient transmission schemes has hindered their practical deployment. Here, we present a wireless channel model that elucidates how systems operating at ambient temperature can modulate thermal noise to convey information. Our results reveal a thermal noise backscatter mechanism that enables significantly higher data rates than previously achieved. We designed and built a thermal noise communication system leveraging this mechanism to achieve data rates in the kilobits-per-second range - over two orders of magnitude higher than prior demonstrations. We also derive the system capacity and show that using polar codes, we are able to achieve this expected capacity. Our channel model and transmission scheme pave the way for new strategies in thermal noise sensing and communication, advancing practical low-power networking for next-generation wireless applications.

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SARLink: Satellite Backscatter Connectivity using Synthetic Aperture Radar

SARLink is a passive satellite backscatter communication system that uses existing spaceborne synthetic aperture radar (SAR) imaging satellites to provide connectivity in remote regions. It achieves orders of magnitude more range than traditional backscatter systems, enabling communication between a passive ground node and a satellite in low earth orbit. The system is composed of a cooperative ground target, a SAR satellite, and a data processing algorithm. A mechanically modulating reflector was designed to apply amplitude modulation to ambient SAR backscatter signals by changing its radar cross section. These communication bits are extracted from the raw SAR data using an algorithm that leverages subaperture processing to detect multiple bits from a target in a single image dataset. A theoretical analysis of this communication system using on-off keying is presented, including the expected signal model, throughput, and bit error rate. The results suggest a 5.5 ft by 5.5 ft modulating corner reflector could send 60 bits every satellite pass, enough to support low bandwidth sensor data and messages. Using Sentinel-1A, a SAR satellite at an altitude of 693~km, we deployed static and modulating reflectors to evaluate the system. The results, successfully detecting the changing state of a modulating ground target, demonstrate our algorithm's effectiveness for extracting bits, paving the way for ultra-long-range, low-power satellite backscatter communication.

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