WIRELESS MARCO-POLO: IMPLEMENTING PEER-TO-PEER RANGING ALGORITHMS ON THE USRP SDR

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https://hdl.handle.net/2142/124845

Title: WIRELESS MARCO-POLO: IMPLEMENTING PEER-TO-PEER RANGING ALGORITHMS ON THE USRP SDR
Author(s): Jacobs, Luke
Issue Date: 2023-05-01
Keyword(s): Localization; USRP; Digital Signal Processing; Channel Estimation
Abstract: The ability of Internet of Things (IoT) devices to localize themselves in-doors is relevant to a host of applications. Whether it is determining the distance between a phone and a smart speaker or estimating the distance between deployed agricultural sensors, it is often useful to range distance between devices. Common ranging methods include Ultra-Wideband (UWB) and the Global Positioning System (GPS). However, the former occupies a wide band of spectrum at high hardware complexity and the latter is unreliable in large buildings. Building off the work of Vasisht et al., this thesis proposes a narrow-band ranging solution designed for IoT devices operating in-doors. To gauge the reliability of the solution, ranging experiments are conducted with Universal Software Radio Peripheral (USRP) radios.
Type of Resource: text
Language: eng

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