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Slow-Time MIMO in High Frequency Surface Wave Radar

  • Wang Linwei
  • , Li Bo
  • , Yu Changjun*
  • , Ji Xiaowei
  • *Corresponding author for this work
  • Harbin Institute of Technology Weihai
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High Frequency Surface Wave Radar (HFSWR) has been widely used for remote sensing and maritime target detection. However, the HFSWR system contains a huge antenna array for accurate angle measurement. Miniaturization of antenna array has been one of the most urgent problems in this field. Applying the Multiple-Input Multiple-Output (MIMO) technology to radar can effectively improve the angle estimation accuracy in the case of small aperture through virtual channels. Hence, the superiority of MIMO contributes to improve the performance of HFSWR system. Slow-time MIMO is a special form of MIMO radar through Doppler diversity, and it can operate at same time and same frequency. This paper introduces the experiment of slow-time MIMO in HFSWR system in recent days. The results validated on real data can prove the benefit of MIMO technology in angle estimating, and we analyze the specific impact of sea clutter, ionospheric clutter and radio interference for Slow-time MIMO HFSWR.

Original languageEnglish
Title of host publicationWireless and Satellite Systems - 12th EAI International Conference, WiSATS 2021, Proceedings
EditorsQing Guo, Weixiao Meng, Min Jia, Xue Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages751-761
Number of pages11
ISBN (Print)9783030933975
DOIs
StatePublished - 2022
Externally publishedYes
Event12th International Conference on Wireless and Satellite Services, WiSATS 2021 - Virtual, Online
Duration: 31 Jul 20212 Aug 2021

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume410 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference12th International Conference on Wireless and Satellite Services, WiSATS 2021
CityVirtual, Online
Period31/07/212/08/21

Keywords

  • Aperture expanding
  • Beamforming
  • Clutter suppression
  • High frequency surface wave radar
  • Slow-time MIMO

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