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Adaptive interference cancellation synthesized SMI and eigenspace-based method for HF surface wave radar

  • Li Lei*
  • , Li Gaopeng
  • , Liu Yuan
  • , Xu Rongqing
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

High frequency (HF) interference typically exhibits a time-varying or non- stationary spatial structure for the propagation through ionosphere. Adaptive interference cancellation methods are known to degrade in this case. In this paper, a new approach that effectively suppresses the non- stationary interference without degrading target visibility is presented for high frequency surface wave radar (HFSWR) circumstance. The proposed method synthesizes the Sample Matrix Inverse(SM) and eigenspace-based beamformer, which maintains the beam pattern to keep the target response as well as cancels the interference mostly. A computationally efficient algorithm based on Lagrange multiplier methodology is proposed to compute the beamformer weights. Its excellent performance was confirmed by the experiment data of a real system.

Original languageEnglish
Title of host publicationMAPE2005
Subtitle of host publicationIEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Proceedings
Pages75-78
Number of pages4
StatePublished - 2005
EventMAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications - Beijing, China
Duration: 8 Aug 200512 Aug 2005

Publication series

NameMAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Proceedings
Volume1

Conference

ConferenceMAPE2005: IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications
Country/TerritoryChina
CityBeijing
Period8/08/0512/08/05

Keywords

  • Adaptive beamformer
  • Eigenspace-based
  • HFSWR
  • SMI

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