TY - GEN
T1 - Localization Performance Analysis in Agriculture 4.0 Utilizing Low Earth Orbit (LEO) Satellites
AU - Khali, Ruhul Amin
AU - Aldhaheri, Lameya
AU - Alshehhi, Noor
AU - Saeed, Nasir
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper introduces a novel localization technique for enhancing the precision of global navigation satellite systems (GNSS) by harnessing the potential of emerging megaconstellations of small satellites in low Earth orbit (LEO), specifically focusing on its applications within Agriculture 4.0. Given the rapid velocity of LEO satellites, it becomes imperative to assess the impact of the Doppler shift on positioning accuracy. Herein, we propose a correction model, Orbit Errors Equivalent to Positioning Error (OEEPE), designed to address the challenge of transmission time ambiguity. To validate the efficiency of our proposed time-frequency compensated Doppler positioning method incorporating epoch selection, we conduct numerous simulations utilizing Iridium-NEXT and Orbcomm satellite data. Our results indicate that the proposed model aligns closely with traditional Doppler positioning error patterns. These findings offer valuable insights for advancing and deploying future GNSS systems employing LEO satellites, particularly catering to the demands of highly precise and dependable applications in Agriculture 4.0.
AB - This paper introduces a novel localization technique for enhancing the precision of global navigation satellite systems (GNSS) by harnessing the potential of emerging megaconstellations of small satellites in low Earth orbit (LEO), specifically focusing on its applications within Agriculture 4.0. Given the rapid velocity of LEO satellites, it becomes imperative to assess the impact of the Doppler shift on positioning accuracy. Herein, we propose a correction model, Orbit Errors Equivalent to Positioning Error (OEEPE), designed to address the challenge of transmission time ambiguity. To validate the efficiency of our proposed time-frequency compensated Doppler positioning method incorporating epoch selection, we conduct numerous simulations utilizing Iridium-NEXT and Orbcomm satellite data. Our results indicate that the proposed model aligns closely with traditional Doppler positioning error patterns. These findings offer valuable insights for advancing and deploying future GNSS systems employing LEO satellites, particularly catering to the demands of highly precise and dependable applications in Agriculture 4.0.
KW - LEO satellites
KW - orbit errors
KW - positioning
KW - smart agriculture
UR - http://www.scopus.com/inward/record.url?scp=85216704819&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85216704819&partnerID=8YFLogxK
U2 - 10.1109/ICSPIS63676.2024.10812639
DO - 10.1109/ICSPIS63676.2024.10812639
M3 - Conference contribution
AN - SCOPUS:85216704819
T3 - 2024 7th International Conference on Signal Processing and Information Security, ICSPIS 2024
BT - 2024 7th International Conference on Signal Processing and Information Security, ICSPIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Signal Processing and Information Security, ICSPIS 2024
Y2 - 12 November 2024 through 14 November 2024
ER -