高频地波雷达射频干扰抑制研究

发布时间：2018-05-27 13:45

本文选题：高频地波雷达 + 射频干扰　；参考：《华中科技大学学报(自然科学版)》2017年09期

【摘要】：针对射频干扰与回波信息在幅度和频域分布上的不同特性,提出了一种改进的经验模态分解(EMD)算法.该方法首先对包含回波信息和射频干扰的原始信号乘以给定的高频信号,将其搬移至高频带,然后通过EMD将回波信息和射频干扰分解到不同的本征模态函数(IMF),在每个IMF中对高出阈值的干扰部分置零,最后将处理后的IMF相加重构信号,并搬移回原频带.达到在抑制射频干扰的同时,无损干扰位置处的回波信息.该方法处理速度快捷,满足雷达实时处理要求.实测数据验证表明:提出的算法改进了原始EMD算法的缺点,并且在不损失回波信息的基础上最大程度地抑制了射频干扰.
[Abstract]:An improved empirical mode decomposition (EMD) algorithm is proposed for the different characteristics of RF interference and echo information distribution in amplitude and frequency domain. The method first multiplies the original signal containing echo information and radio frequency interference by a given high frequency signal and moves it to a high frequency band. Then the echo information and radio frequency interference are decomposed into different intrinsic mode functions by EMD, and the interference part with higher threshold value is zero in each IMF. Finally, the processed IMF is added to reconstruct the signal and moved back to the original frequency band. The echo information at the position of nondestructive interference can be obtained at the same time as the radio frequency interference is suppressed. The processing speed of this method is fast and meets the requirement of radar real-time processing. The experimental results show that the proposed algorithm improves the shortcomings of the original EMD algorithm and minimizes the RF interference without losing the echo information.
【作者单位】：武汉大学电子信息学院;武汉大学地球空间信息技术协同创新中心;
【基金】：国家自然科学基金资助项目(41376182,41506201) 海洋公益性行业科研专项资助项目(201205032) 湖北省科技支撑计划资助项目(2014BEC057) 中央高校自主科研立项资助项目(2015212020204)
【分类号】：TN958

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