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作 者:王千军 李自立[1] Wang Qianjun;Li Zili(School of Electronic Engineering,Guangxi Normal University,Guilin 541000,China)
出 处:《国外电子测量技术》2022年第12期20-25,共6页Foreign Electronic Measurement Technology
基 金:国家自然科学基金(61661009)项目资助。
摘 要:高频地波雷达(HFSWRs)回波数据受电离层杂波污染,严重影响了海态遥感和目标检测。为了解决该问题,基于目标反射雷达波的不同种类,运用变分模态分解(VMD)算法分别形成不同的模态,接着运用小波阈值算法对含有杂波的模态进行滤波,实现在充分抑制电离层杂波的前提下,提高回波信噪比的目的。实测结果表明,单侧和双侧电离层杂波处理后信噪比分别提升25.95和36.40 dB,海洋雷达理论探测距离至少提高24 km。最后与传统方法进行对比,验证了方法的可行性和有效性,为高频地波雷达电离层杂波抑制提供了一个新方法。High frequency ground wave radar(HFSWRs) echo data are contaminated by ionospheric clutter, which seriously affects the sea state remote sensing and target detection. In order to solve this problem, this paper uses variational mode decomposition(VMD) algorithm to form different modes based on different types of target reflected radar waves, followed by wavelet thresholding algorithm to filter the modes containing clutter to achieve the purpose of improving the echo signal-to-noise ratio with sufficient suppression of ionospheric clutter. The results show that the signal-to-noise ratios of unilateral and bilateral ionospheric clutter are improved by 25.95 and 36.40 dB, respectively, and the theoretical detection distance of marine radar is improved by at least 24 km. Finally, a comparison with the traditional method verifies the feasibility and effectiveness of the method in this paper, and provides a new method for high frequency ground wave radar ionospheric clutter suppression.
分 类 号:TN957.5[电子电信—信号与信息处理]
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