Space-Integrated-Ground Information Networks ›› 2022, Vol. 3 ›› Issue (4): 2-11.doi: 10.11959/j.issn.2096-8930.2022038

Special Issue: 卫星互联网用户接入控制

• Special Issue: Satellite Internet User Access Control • Previous Articles     Next Articles

Low Orbit Satellite Internet of Things Transmission Technology Based on LoRa

Zehao LI1, Jianpeng MA1, Shun ZHANG1, Xiao WEI2, Jing ZHANG2   

  1. 1 Xidian University, Xi’an 710071, China
    2 China Academic of Electronics and Information Technology, Beijing 100041, China
  • Revised:2022-10-26 Online:2022-12-20 Published:2022-12-01
  • Supported by:
    National Key Research and Development Program of China(2021YFB2900502);Fundamental Research Funds for the Central Universities(XJS220107)

Abstract:

As an emerging wide area network technology, LoRa has the characteristics of low power consumption and wide coverage.It has very broad prospects in the field of internet of things applications.In recent years, it has been deployed in countless objects around the world.The advantages of wide coverage of low-orbit satellite networks make it an inevitable technology to achieve global coverage of massive internet of things.Firstly, the basic principles of LoRa technology were expounded.Then the problems existed after the LoRa technology was directly introduced into the low-orbit satellite IoT were analyzed.Finally, a set of LoRa transmission technology suitable for low-orbit satellite IoT was proposed, focused on solved the problem of LoRa frame synchronization under the condition of low-orbit long-distance low-power transmission, and the problem of LoRa demodulation caused by the high-speed movement of satellites due to the Doppler frequency off set.The simulation results showed that the proposed joint synchronization and frequency off set estimation algorithm could obviously improved the synchronization probability and transmission reliability of LoRa technology under the conditions of extremely low SNR and large Doppler frequency shift.

Key words: low-orbit satellite, internet of things, LoRa, frame synchronization, frequency off set estimation

CLC Number: 

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