ToF-based Indoor Positioning for Low-power IoT Nodes
| Autor: | Daniel Neunteufel, Holger Arthaber, Andreas Fuchs |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry Bandwidth (signal processing) 020206 networking & telecommunications Cloud computing 02 engineering and technology Narrowband 0202 electrical engineering electronic engineering information engineering Electronic engineering Chirp Waveform Transceiver business Edge computing Communication channel |
| Zdroj: | ACSSC |
| DOI: | 10.1109/ieeeconf51394.2020.9443431 |
| Popis: | In this work, we address the challenge of using power and complexity-limited internet of things (IoT) nodes for time of flight (ToF)-based indoor localization. This requires a high signaling bandwidth, and thus the narrowband radios of many low-power, low-cost, commercial off-the-shelf (COTS) transceiver chips can not be used. However, as these kind of nodes are deployed in vast numbers, it is worth considering unorthodox approaches to facilitate wideband signal generation without changes to the hardware. We make use of an unsupported mode of operation of one typical transceiver chip to generate a frequency-stepped chirp waveform with a bandwidth of up to 80 MHz in the 2.4 GHz industrial, scientific, and medical (ISM) band.This paper evaluates a pulse-compression technique for such chirped signals, which accounts for unknown properties of nonideal transceivers. This edge computing approach allows for an immediate rate reduction of the received data and the application of efficient localization algorithms in the cloud. The performance of the phase difference estimation as the crucial step of the pulse- compression is evaluated using a Monte Carlo simulation of the introduced channel and processing chain. We compare it to the theoretical bound for an ideal waveform. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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