| 引用本文: | 曾维贵，尚 嵩，刘明刚，曹司磊. 高分辨FMICW雷达回波信号虚假杂散抑制方法[J]. 雷达科学与技术, 2026, 24(2): 171-176.[点击复制] |
| ZENG Weigui, SHANG Song, LIU Minggang, CAO Silei. Spurious Signal Suppression Method for High-ResolutionFMICW Radar Echo Signals[J]. Radar Science and Technology, 2026, 24(2): 171-176.[点击复制] |
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| 摘要: |
| 高分辨率调频中断连续波（FMICW）雷达以其出色的远距离探测、低功耗以及优异的抗干扰性能，在精确测距、目标识别和环境感知等领域展现出巨大潜力。然而，在实际应用中，有效抑制系统产生的虚假杂散信号并避免由此引发的多普勒模糊，是实现其高精度探测的关键挑战。通过基础的交错开关频率抑制杂散信号来提升距离分辨率存在显著弊端。一方面，其将最大不模糊多普勒速度降低至原有水平的一半，对高速目标探测会产生多普勒模糊；另一方面，存在数据利用率低和信噪比低情况下杂散抑制效果有限等不足，极大地制约了系统在实际场景中的性能表现。针对上述问题，本文提出了一种改进的信号处理方法，该方法通过优化改进杂散抑制信号处理流程并显著提高数据利用率，在有效抑制虚假杂散信号的同时，最大程度地保留了最大不模糊多普勒速度。以100个典型采样周期为例，最大不模糊速度仅衰减约1%，尤为重要的是，随着采样周期数的增加，衰减程度会进一步减小。这一特性对于维持高分辨FMICW雷达固有的测量精度和系统可靠性至关重要。通过与基础方法的仿真实验对比，充分验证了所提方法的有效性及其显著优势。 |
| 关键词: FMICW雷达 多普勒模糊 杂散抑制 高分辨 |
| DOI：DOI:10.3969/j.issn.1672-2337.2026.02.007 |
| 分类号:TN957.51 |
| 基金项目:山东省“青创团队计划”（2022KJ085） |
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| Spurious Signal Suppression Method for High-ResolutionFMICW Radar Echo Signals |
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ZENG Weigui, SHANG Song, LIU Minggang, CAO Silei
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Naval Aviation University, Yantai 264001, China
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| Abstract: |
| High-resolution frequency modulated interrupted continuous wave（FMICW）radar demonstrates significant potential in applications such as precise ranging, target identification, and environmental perception, due to its exceptional long-range detection capabilities, low power consumption, and superior anti-interference performance. Nevertheless, a key challenge in practical deployments lies in the effective suppression of spurious signals generated by the system and the avoidance of Doppler ambiguity, which are essential for realizing its high-resolution capabilities. The conventional method of using PRI variation to enhance range resolution has major flaws. A primary limitation is that it halves the maximum unambiguous Doppler velocity, leading to ambiguity in detecting fast-moving targets. Furthermore, the approach exhibits low data efficiency and poor spurious signal suppression in low-SNR conditions. These issues collectively degrade radar performance in practice. To address these issues, this study introduces an improved signal processing method. Our approach enhances the spurious suppression workflow and data utilization, effectively eliminating spurious signals while largely retaining the maximum unambiguous Doppler velocity. For the typical case of 100 sampling periods, the maximum unambiguous velocity is reduced by only about 1%. Importantly, this reduction decreases further as the number of sampling periods increases. This characteristic is crucial for maintaining the inherent measurement accuracy and system reliability of high-resolution FMICW radar. Comparative simulations with the baseline method confirm the effectiveness and superior performance of the proposed approach. |
| Key words: FMICW radar Doppler ambiguity spurious signals suppression high-resolution |
