低轨卫星高动态多普勒频移补偿方法

Doppler Shift Compensation Methods for High-Dynamic Low-Earth-Orbit Satellites

  • 摘要: 低轨卫星具有传输时延低、覆盖范围广和通信速率高等技术优势,通过大规模星座部署可有效推动全球通信基础设施的升级演进,是实现全球无缝通信覆盖和提升应急通信保障能力的关键。然而,异轨道面卫星通信因拓扑关系快速变化引起多普勒频移,其动态范围大、特性时变快,导致相干通信星座相位旋转,载波环路恢复算法失效,解调性能急剧下降,甚至通信链路中断。本文对低轨卫星多普勒频移变化特性进行轨道建模分析,其频偏可达340 kHz,变化速率超过2 kHz/s,以此为依据分别对闭环反馈、前向开环算法的载波跟踪性能进行仿真分析;针对卫星通信接收机需适应同轨、异轨应用场景需求,自适应判决更新策略采用加速度判决机制实现双模式补偿策略:在同轨低动态阶段采用基于闭环反馈的锁相环(Phase-Locked Loop,PLL)进行相位跟踪补偿,在异轨高动态阶段切换至基于前向开环的快速傅里叶变换-VV(Fast Fourier Transform-Viterbi Viterbi,FFT-VV)联合算法,并引入滑动窗口加权更新机制对加速度判决阈值进行动态调整,在实现频偏快速捕获与高精度相位补偿的同时,提升双模式补偿体系间的控制稳定性与准确性。仿真结果表明,自适应判决更新策略在低加速度环境下归一化频偏估计均方根误差(Normalized Root Mean Square Error,NRMSE)低于2×10-4,在高动态环境下NRMSE稳定在5.48×10-4,且相位波动收敛至±0.04弧度以内。在此基础上,进一步通过误码率仿真验证了自适应判决更新策略的有效性,测试结果表明该方法能够根据链路动态状态实时切换最优补偿模式,显著提升了低轨卫星通信接收机在同轨、异轨场景下的通信鲁棒性。

     

    Abstract: ‍ ‍Low-Earth-orbit (LEO) satellites provide key technical advantages, including low latency, wide coverage, and high data rates. Large-scale constellation deployment can accelerate global communication infrastructure development, enabling seamless connectivity and enhanced emergency response. However, inter-orbital-plane communication links are challenged by rapidly changing topologies, producing severe Doppler frequency shifts, characterized by large dynamic ranges and fast variations, which disrupt carrier recovery and degrade demodulation performance. This paper presents an orbital modeling and analysis of Doppler frequency shift variations in LEO satellites, demonstrating frequency offsets up to 340 kHz and variation rates surpassing 2 kHz/s. Based on this analysis, the performances of closed-loop and feedforward tracking algorithms are evaluated. To accommodate both co-orbital and cross-orbital scenarios, a dual-mode Doppler compensation strategy is proposed, guided by an adaptive threshold update mechanism based on acceleration estimation. Specifically, a phase-locked loop (PLL) is employed under low-dynamic conditions, while a feedforward Fast Fourier Transform-Viterbi Viterbi (FFT-VV) algorithm is adopted in high-dynamic environments. A sliding window weighted update mechanism is introduced to enable smooth threshold adjustment, ensuring robust Doppler acquisition, precise phase compensation, and seamless switching between compensation modes. Simulation results demonstrate that the proposed strategy maintains a normalized root mean square error (NRMSE) below 2×10-4 in low-acceleration cases and stabilizes at 5.48×10-4 under high dynamics, with phase variations within ±0.04 radians. This study further verifies the proposed adaptive strategy, indicating that it can dynamically adapt to real-time link conditions and significantly enhance the robustness of LEO satellite receivers in both co-orbital and cross-orbital environments.

     

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