科技评论

2019年空时自适应处理技术研究热点回眸

  • 闫晟 ,
  • 孙梦茹 ,
  • 施博 ,
  • 郝程鹏
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  • 1. 中国科学院声学研究所, 北京 100190;
    2. 中国科学院大学, 北京 100049
闫晟,研究员,研究方向为水声信号处理,电子信箱:yansheng@mail.ioa.ac.cn

收稿日期: 2019-12-31

  修回日期: 2020-01-10

  网络出版日期: 2020-04-01

基金资助

国家自然科学基金项目(61172166,61701490,61971412)

Hot topics of space-time adaptive processing in 2019: A review

  • YAN Sheng ,
  • SUN Mengru ,
  • SHI Bo ,
  • HAO Chengpeng
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  • 1. Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese of Academy of Sciences, Beijing 100049, China

Received date: 2019-12-31

  Revised date: 2020-01-10

  Online published: 2020-04-01

摘要

空时自适应处理可以联合空域和时域进行二维自适应滤波,是运动平台雷达系统中进行杂波抑制和目标检测的关键技术。近年来,空时自适应处理技术迅速发展,其应用领域也在不断扩大。概述了2019年空时自适应处理领域所取得的重要研究进展,展望了未来空时自适应处理技术的发展趋势。

本文引用格式

闫晟 , 孙梦茹 , 施博 , 郝程鹏 . 2019年空时自适应处理技术研究热点回眸[J]. 科技导报, 2020 , 38(3) : 192 -199 . DOI: 10.3981/j.issn.1000-7857.2020.03.017

Abstract

Space-time adaptive processing (STAP) which performs adaptive filtering in spatial and temporal domains is a key technology for clutter suppression and target detection in moving platform radar system. In recent years, STAP technology has developed rapidly and its application field is also expanding. This article reviews the hot topics and important research progress in the field of STAP in 2019 and discusses new STAP trends.

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