TY - JOUR
T1 - Code-Assisted Broadband Jamming Suppression in Multisatellite Collaborative Secure Communication
AU - Qiao, Shuqi
AU - Shao, Yizhe
AU - Kang, Guodong
AU - Zhao, Jian
AU - Yue, Pingyue
AU - Zhang, Rui
AU - Ke, Sheng
AU - Wang, Shuai
N1 - Publisher Copyright:
© 1965-2011 IEEE.
PY - 2025
Y1 - 2025
N2 - Internet of Remote Things (IoRT), functioning as a supplementary element to terrestrial mobile Internet of Things networks, significantly enhances communication for user devices in remote areas with the support of low-Earth orbit (LEO) satellites, providing considerable convenience. However, the open nature of satellite-to-ground channels and the predictability of satellite orbits make LEO satellite communications vulnerable to disruptive broadband malicious jamming from external sources. To address this challenge, we propose a broadband jamming suppression methodology that leverages the spatial diversity characteristics of multiple satellites. Moreover, in conditions of unequal power of desired and jamming signals, we derive the theoretical combined signal-to-jamming-plus-noise-ratio (SJNR). To achieve the maximum combined SJNR, we propose a code-assisted iterative parameter estimation algorithm that is tailored for multisatellite operations. This algorithm employs log-likelihood ratio information feedback from the decoder to refine the estimation of combining weight coefficients, thereby boosting the broadband jamming suppression capacity of the IoRT system. Simulation results demonstrate that maximum ratio combination based on the proposed algorithm exhibits minimal combined SJNR loss and outperforms the classical time-/frequency-domain antijamming algorithm based on selective combination (SC), equal gain combination, and SC itself in bit error rate performance.
AB - Internet of Remote Things (IoRT), functioning as a supplementary element to terrestrial mobile Internet of Things networks, significantly enhances communication for user devices in remote areas with the support of low-Earth orbit (LEO) satellites, providing considerable convenience. However, the open nature of satellite-to-ground channels and the predictability of satellite orbits make LEO satellite communications vulnerable to disruptive broadband malicious jamming from external sources. To address this challenge, we propose a broadband jamming suppression methodology that leverages the spatial diversity characteristics of multiple satellites. Moreover, in conditions of unequal power of desired and jamming signals, we derive the theoretical combined signal-to-jamming-plus-noise-ratio (SJNR). To achieve the maximum combined SJNR, we propose a code-assisted iterative parameter estimation algorithm that is tailored for multisatellite operations. This algorithm employs log-likelihood ratio information feedback from the decoder to refine the estimation of combining weight coefficients, thereby boosting the broadband jamming suppression capacity of the IoRT system. Simulation results demonstrate that maximum ratio combination based on the proposed algorithm exhibits minimal combined SJNR loss and outperforms the classical time-/frequency-domain antijamming algorithm based on selective combination (SC), equal gain combination, and SC itself in bit error rate performance.
UR - https://www.scopus.com/pages/publications/105002491559
U2 - 10.1109/TAES.2024.3485024
DO - 10.1109/TAES.2024.3485024
M3 - Article
AN - SCOPUS:105002491559
SN - 0018-9251
VL - 61
SP - 3162
EP - 3175
JO - IEEE Transactions on Aerospace and Electronic Systems
JF - IEEE Transactions on Aerospace and Electronic Systems
IS - 2
ER -