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Mainlobe deceptive jammer suppression with FDA-MIMO radar

  • Jingwei Xu*
  • , Jialin Kang
  • , Guisheng Liao
  • , Hing Cheung So*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Anti-jamming technique has become an increasing demand in radar systems due to the fast development of electronic countermeasures.To alleviate the extremely difficult deceptive jammer suppression problem, frequency diverse array (FDA) based multiple-input multiple-output (MIMO) radar is devised and a sample selection based deceptive jammer suppression method is developed.The basic principle of the FDA-MIMO radar regarding its superiority in canceling the deceptive jammers is studied in detail.In order to handle the pseudorandom distribution issue of false targets within the secondary training samples, a subspace projection based sample selection method is proposed. When certain a priori knowledge of the true target is available, the time-delayed false targets can be adequately suppressed,even if the latter are in the mainlobe direction.Simulation examples demonstrate the effectiveness of our solution.
Original languageEnglish
Title of host publication2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018
PublisherIEEE Computer Society
Pages504-508
ISBN (Print)9781538647523
DOIs
Publication statusPublished - Jul 2018
Event10th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2018) - University of Sheffield, Sheffield, United Kingdom
Duration: 8 Jul 201811 Jul 2018
http://www.sam2018.group.shef.ac.uk/

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2018-July
ISSN (Electronic)2151-870X

Conference

Conference10th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2018)
Abbreviated titleSAM 2018
PlaceUnited Kingdom
CitySheffield
Period8/07/1811/07/18
Internet address

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

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