TY - GEN
T1 - Iterative Phase Offset Estimation in Collaborative Satellites for Secure Internet of Remote Things
AU - Wu, Pengtao
AU - Sun, Ligang
AU - Qiao, Shuqi
AU - Yue, Pingyue
AU - Zhang, Rui
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Internet of Remote Things (IoRT) supported by Low Earth Orbit (LEO) satellites has provided great convenience to specific intelligent productions, such as smart ocean and remote mining. To enhance system security and reduce the probability of interception, the terminal transmission power is limited to a lower level, resulting in satellite receivers operating under low signal-to-noise ratio (SNR) conditions. To overcome this challenge, communication by multiple collaborative LEO satellites is proposed to improve the SNR through coherent combination. However, different channel conditions cause the signals to arrive at collaborative satellite receivers with various random phase offsets, significantly impacting coherent combining gain. To address this, an iterative distributed phase offset estimation method based on cross-entropy is proposed, enabling the estimation and compensation of phase offsets in collaborative satellites without relying on prior knowledge or introducing redundant symbols. Simulations based on Direct Sequence Spread Spectrum Binary Phase Shift Keying (DSSS-BPSK) modulated signals demonstrate that the algorithm outperforms the SUMPLE algorithm regarding combining gain.
AB - The Internet of Remote Things (IoRT) supported by Low Earth Orbit (LEO) satellites has provided great convenience to specific intelligent productions, such as smart ocean and remote mining. To enhance system security and reduce the probability of interception, the terminal transmission power is limited to a lower level, resulting in satellite receivers operating under low signal-to-noise ratio (SNR) conditions. To overcome this challenge, communication by multiple collaborative LEO satellites is proposed to improve the SNR through coherent combination. However, different channel conditions cause the signals to arrive at collaborative satellite receivers with various random phase offsets, significantly impacting coherent combining gain. To address this, an iterative distributed phase offset estimation method based on cross-entropy is proposed, enabling the estimation and compensation of phase offsets in collaborative satellites without relying on prior knowledge or introducing redundant symbols. Simulations based on Direct Sequence Spread Spectrum Binary Phase Shift Keying (DSSS-BPSK) modulated signals demonstrate that the algorithm outperforms the SUMPLE algorithm regarding combining gain.
KW - IoRT
KW - coherent combining
KW - collaborative phase estimation
KW - cross entropy
UR - http://www.scopus.com/inward/record.url?scp=85186105574&partnerID=8YFLogxK
U2 - 10.1109/ICCT59356.2023.10419856
DO - 10.1109/ICCT59356.2023.10419856
M3 - Conference contribution
AN - SCOPUS:85186105574
T3 - International Conference on Communication Technology Proceedings, ICCT
SP - 1242
EP - 1246
BT - 2023 IEEE 23rd International Conference on Communication Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd IEEE International Conference on Communication Technology, ICCT 2023
Y2 - 20 October 2023 through 22 October 2023
ER -