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基于方向分解的高频地波雷达射频干扰抑制 被引量:2

Reasearch on Radio Frequency Interference Suppression for HFSWR
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摘要 本文根据射频干扰的来源和特性构造出其基本的理论模型,并结合数据处理流程从理论上分析了射频干扰在方位-距离-多普勒域的特性,得出了在不同距离上,射频干扰具有强相关性;而在不同方位上,射频干扰具有同频但不同幅的特点。基于此分析,在实际工程应用中,分析常规射频干扰抑制方法的不足,为减少干扰抑制过程对目标信息的影响,提出了包括回波信号方向分解、射频干扰估计与抑制、幅值合成三个步骤。通过仿真和实测数据对算法进行了验证,并与常规抑制方法进行对比,结果显示该方法对射频干扰具有良好的抑制效果,有效提高了被射频干扰覆盖的目标点的信干比。 This paper constructs the basic radio frequency interference theoretical model according to its source and characteristics,theoretically analyzes the properties of the radio frequency interference in azimuth-range-Doppler domain,and concludes that the radio frequency interference has strong correlation at different distances,same frequency and different amplitude in different directions.Based on this analysis,this paper puts forward a three-steps method including echo signal direction decomposition,radio frequency interference estimation and suppression,amplitude synthesis to reduce the interference suppression effect on target information in the actual engineering application,after the analysis of the shortcomings of conventional radio frequency interference suppression methods.The algorithm is verified by simulation and measured data,and compared with classical suppression method,the results show that the method has excellent suppression effect on radio frequency interference,which effectively improves the signal-to-interference ratio of the target point covered by the radio frequency interference.
作者 朱永恒 黎明 牛炯 张玲 纪永刚 ZHU Yong-Heng;LI Ming;NIU Jiong;ZHANG Ling;JI Yong-Gang(College of Engineering,Ocean University of China,Key Laboratory of Marine Mechanical and Electrical Equipment&Instruments of University in Shandong Province,Qingdao 266100,China;The First Institute of Oceanography,Qingdao 266061,China)
出处 《中国海洋大学学报(自然科学版)》 CAS CSCD 北大核心 2018年第7期142-148,共7页 Periodical of Ocean University of China
基金 国家自然科学基金项目(61132005) 国家海洋局公益性项目(2015418002)资助
关键词 高频地波雷达 射频干扰 波束形成 自协方差矩阵 high frequency surface wave radar radio frequency interference data beam forming(DBF) covariance matrix
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