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Conference Paper SFO Correction Algorithm for Lora Signalling in Leo Satellite IoT Networks
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Authors
Gyeongrae Im, Pansoo Kim, Joon-Gyu Ryu
Issue Date
2021-09
Citation
Ka and Broadband Communications Conference 2021, pp.1-8
Language
English
Type
Conference Paper
Abstract
LoRa waveform has great immunity to a large amount of frequency offset and has low sensitivity, making it a strong candidate for satellite IoT services. However, when sampling frequency offset (SFO) occurs between low-cost IoT transmitters and receivers, LoRa system performance degrades. In this paper, we introduce SFO in LoRa system. We propose the SFO detection and compensation algorithm for LoRa with high spreading factors (SFs). The simulation result shows that the validity of our proposal.
KSP Keywords
Compensation algorithm, Correction algorithm, IoT network, IoT services, LEO Satellite, Low sensitivity, Low-cost IoT, Sampling frequency offset, System performance