低空高移动场景混合扩频猝发信号快速同步算法
Rapid Coherent Acquisition of DS/FH Measurement and Control Signals for Low-Altitude High-Mobility Communications
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摘要: 低空智联是实现经济高质量发展和建设交通强国的必然选择。DS/FH(Direct Sequence / Frequency Hopping)混合扩频技术融合直接序列扩频与跳频优势,具有强抗干扰、强隐蔽能力,成为构建安全、可靠、高效低空智联网的关键技术。然而,在高动态场景下,强多普勒效应使其相干同步算法复杂度高、同步精度低。为此,本文提出一种兼顾性能增益与实现复杂度的快速同步算法。首先,利用M序列与巴克码设计了可变速率帧结构,通过灵活调整数据段符号周期适配解调灵敏度需求,在保留速率灵活性的同时优化同步速度;其次,设计两级相位补偿机制,分别消除半码片级与采样率级时延引入的相位残差;最后,本文提出了低复杂度跨跳大频偏估计方法,实现了多普勒频偏高精度估计。仿真结果表明,相比传统非相干算法,所提方案在复杂度仅增加20%时提升8~9 dB 性能增益。大频偏条件下时间估计均方根0.38 ns、频率估计均方根29.85 Hz,实现了亚纳秒级的时间估计精度与几十赫兹的频率估计精度,可有效适配高动态场景下毫米波抗干扰测控快速同步需求。Abstract: Intelligent low-altitude communication systems can support advanced economic development and the operation of integrated transportation networks. Direct-sequence/frequency hopping (DS/FH) hybrid spread-spectrum modulation techniques combine the advantages of direct-sequence spread-spectrum modulation and frequency hopping. This approach has shown strong anti-jamming and concealment capabilities and has thus been recognized as a key technology to build safe, reliable, and efficient networks for intelligent low-altitude communications. However, the strong Doppler effect enhances the complexity of coherent synchronization techniques and considerably reduces the capture accuracy in scenarios that require high dynamic range. In this study, a fast coherent synchronization technique is proposed to address this issue by balancing performance improvements with the system complexity. First, a variable-rate frame structure is designed using M-sequence and Barker codes to optimize the synchronization speed while retaining rate flexibility by adaptively adjusting the symbol period of the data segment to match the sensitivity required for the demodulation. Second, a two-stage phase-compensation mechanism is designed to eliminate phase residuals introduced by delays at the half-code slice and sampling-rate levels. Finally, a low-complexity cross-hop frequency bias estimation method is proposed to estimate the Doppler frequency bias with high precision. The results of a simulation show that the proposed scheme can improve gain by 8~9 dB with only a 20% increase in complexity compared to a conventional non-coherent algorithm. The root mean square of the time estimation was 0.38 ns with a large frequency bias, while that of the frequency estimation was 29.85 Hz. Thus, the proposed method realizes sub-nanosecond accuracy in estimating time and an accuracy of tens of hertz in estimating frequency. These findings imply the applicability of this approach in millimeter-wave anti-jamming measurement and control for fast capture in scenarios with high dynamic range.
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