A space time autoaggressive method based on parameters estimation for airborne MIMO radar

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Abstract

The clutter distribution of an airborne multiple input and multiple output (MIMO) radar in non-homogeneous environment varies with ranges and samples in different range gates are not independent identically distributed vectors, so that the statistical space time adaptive processing(STAP)methods degrade heavily. A clutter suppression method for airborne MIMO radar in non-homogeneous environments is studied in this paper. Firstly, Space time autoaggressive (STAR) method is introduced to airborne MIMO radar for clutter suppression and then an AR model parameters estimation method for STAR is proposed to decrease the complexity of traditional method. Simulation results show the proposed method can estimate parameters exactly and rapidly with only few training samples and be fit for clutter suppression in non-homogeneous environments.

Original languageEnglish
Title of host publicationMechatronics Engineering, Computing and Information Technology
PublisherTrans Tech Publications
Pages4496-4500
Number of pages5
ISBN (Print)9783038351153
DOIs
Publication statusPublished - 2014
Event2014 International Conference on Mechatronics Engineering and Computing Technology, ICMECT 2014 - Shanghai, China
Duration: 9 Apr 201410 Apr 2014

Publication series

NameApplied Mechanics and Materials
Volume556-562
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2014 International Conference on Mechatronics Engineering and Computing Technology, ICMECT 2014
Country/TerritoryChina
CityShanghai
Period9/04/1410/04/14

Keywords

  • Clutter suppression
  • Multiple input multiple output radar
  • Space time adaptive processing
  • Space time autoaggresstive

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