TY - GEN
T1 - GA-Driven Joint Estimation of Time-Hopping Patterns and Carrier Parameters in Secure LEO Communications
AU - Zhu, Ke
AU - Wu, Rui
AU - Lu, Kun
AU - Zhang, Rui
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - Low Earth Orbit (LEO) satellite systems serve as critical infrastructure for internet of things (IoT), military, and emergency missions due to their low-latency global coverage. This work leverages time-hopping (TH) technology’s interference resilience and low-probability-of-intercept characteristics through a TH communication architecture where signals are distributed across pseudo-random TH sequences. The receiver implements joint de-hopping and carrier offset synchronization to enable multi-hop coherent combining for signal-to-noise ratio (SNR) enhancement in low-Eb/N0 regimes. To overcome TH pattern randomness and dynamic frequency-phase distortions, we develop a genetic algorithm (GA)-driven hierarchical estimation framework comprising coarse and fine synchronization stages. Application-specific genotype encoding and dedicated crossover mechanisms, guided by a signal-energy fitness metric, ensure rapid convergence to global optima. Numerical simulations demonstrate that the proposed architecture achieves near-theoretical bit error rate (BER) performance with 5.61×10-5 symbol-rate-normalized frequency root mean square error (RMSE) and 0.044 rad phase RMSE at 4 dB per-hop Eb/N0, outperforming conventional single-stage estimation strategies in precision and robustness.
AB - Low Earth Orbit (LEO) satellite systems serve as critical infrastructure for internet of things (IoT), military, and emergency missions due to their low-latency global coverage. This work leverages time-hopping (TH) technology’s interference resilience and low-probability-of-intercept characteristics through a TH communication architecture where signals are distributed across pseudo-random TH sequences. The receiver implements joint de-hopping and carrier offset synchronization to enable multi-hop coherent combining for signal-to-noise ratio (SNR) enhancement in low-Eb/N0 regimes. To overcome TH pattern randomness and dynamic frequency-phase distortions, we develop a genetic algorithm (GA)-driven hierarchical estimation framework comprising coarse and fine synchronization stages. Application-specific genotype encoding and dedicated crossover mechanisms, guided by a signal-energy fitness metric, ensure rapid convergence to global optima. Numerical simulations demonstrate that the proposed architecture achieves near-theoretical bit error rate (BER) performance with 5.61×10-5 symbol-rate-normalized frequency root mean square error (RMSE) and 0.044 rad phase RMSE at 4 dB per-hop Eb/N0, outperforming conventional single-stage estimation strategies in precision and robustness.
KW - Time-hopping (TH) communication
KW - coherent combining
KW - genetic algorithm (GA)
KW - multidimensional parameter joint estimation
UR - https://www.scopus.com/pages/publications/105039629036
U2 - 10.1007/978-981-95-6853-6_19
DO - 10.1007/978-981-95-6853-6_19
M3 - Conference contribution
AN - SCOPUS:105039629036
SN - 9789819568529
T3 - Lecture Notes in Electrical Engineering
SP - 185
EP - 196
BT - Proceedings of the 4th International Conference on Internet of Things, Communication and Intelligent Technology - IoT and Communication
A2 - Dong, Jian
A2 - Zheng, Tongxing
PB - Springer Science and Business Media Deutschland GmbH
T2 - 4th International Conference on Internet of Things, Communication and Intelligent Technology, IoTCIT 2025
Y2 - 27 June 2025 through 29 June 2025
ER -