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DOPPLER INFORMATION EXTRACTION OF SEGMENT SIGNAL USING S-MVDR METHOD IN HFSWR

机译:HFSWR中使用S-MVDR方法提取分段信号的多普勒信息

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摘要

This paper proposes a novel spectrum estimation algorithm in order to extract the Doppler information of segment echo data of high frequency surface wave radar (HFSWR) operating at sweep frequency mode. Working in this mode, the HFSWR can avoid interferences related to radar frequency, such as ionospheric clutter, sea clutter, and cochannel interference. However, the echo signals operating at the same frequency are segmental due to the random phase differences among echo segments. It is difficult to extract Doppler information of the specific data since the monitoring time of each segment is short. To solve this problem, this paper establishes a model of echo signal in the sweep frequency mode, and proposes an improved S-MVDR (segment-minimum variance distortionless response) algorithm according to the characteristics of the signal model. It is demonstrated by theoretical analysis that the S-MVDR algorithm can improve the resolution of the spectrum estimation without losing any frequency information. Simulations show that the S-MVDR algorithm has higher resolution and signal noise ratio than other segment signal spectrum estimation algorithms.
机译:为了提取以扫频模式工作的高频表面波雷达(HFSWR)的段回波数据的多普勒信息,提出了一种新的频谱估计算法。以这种模式工作时,HFSWR可以避免与雷达频率相关的干扰,例如电离层杂波,海杂波和同频道干扰。然而,由于回波段之间的随机相位差,所以以相同频率工作的回波信号是分段的。由于每个片段的监视时间短,因此难以提取特定数据的多普勒信息。为了解决这个问题,本文建立了扫频模式下的回波信号模型,并根据信号模型的特点提出了一种改进的S-MVDR算法。理论分析表明,S-MVDR算法可以在不丢失频率信息的情况下提高频谱估计的分辨率。仿真表明,与其他分段信号频谱估计算法相比,S-MVDR算法具有更高的分辨率和信号噪声比。

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  • 作者单位

    No. 38 Research Institute of CETC No. 199, Xiangzhang Road, Hefei 230038, P. R. China,School of Electronics and Information Engineering Harbin Institute of Technology No. 92, West Da-Zhi Street, Harbin 150001, P. R. China;

    School of Electronics and Information Engineering Harbin Institute of Technology No. 92, West Da-Zhi Street, Harbin 150001, P. R. China;

    School of Electronics and Information Engineering Harbin Institute of Technology No. 92, West Da-Zhi Street, Harbin 150001, P. R. China;

    School of Electronics and Information Jiangsu University of Science and Technology No. 2, Mengxi Road, Zhenjiang 212003, P. R. China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    HFSWR; doppler frequency; spectral estimation; MVDR; S-MVDR;

    机译:HFSWR;多普勒频率频谱估计MVDR;MVDR;

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