A GMTI Method for Near-Space Hypersonic Vehicle-borne SAR based on Track before Detect in Image Domain

  • Ning Du
  • , Junjie Wu
  • , Zhongyu Li
  • , Mafei Xu
  • , Haiguang Yang
  • , Jianyu Yang

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

Abstract

Ground Moving Target Indication (GMTI) for Near-space Hypersonic vehicle borne Synthetic Aperture Radar (NH-SAR) is an important part of remote sensing applications. However, the ultra-long range and the ultra-high flight speed of NH-SAR causes the lower echo signal-to-noise ratio (SNR) and the expanded clutter spectrum, which reduces the performance of traditional GMTI methods such as Displaced Phase Centre Antennas (DPCA), along track interferometry (ATI) and Space Time Adaptive Processing (STAP). In this paper, a method based on Track Before Detect (TBD) in image domain is proposed to perform GMTI for NH-SAR. This method obtains the multi-frame images of NH-SAR firstly, and tracks the trajectories of the moving targets in the images. The simulation results validate the effectiveness of the proposed method, and show that this method has lower false alarm probabilities under the low-SNR condition.

Original languageEnglish
Title of host publication2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728129129
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019 - Xiamen, China
Duration: 26 Nov 201929 Nov 2019

Publication series

Name2019 6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019

Conference

Conference6th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2019
Country/TerritoryChina
CityXiamen
Period26/11/1929/11/19

Keywords

  • ground moving target indication (GMTI)
  • low signal-to-noise ratio (SNR)
  • near-space hypersonic vehicle
  • synthetic aperture radar (SAR)
  • track-before-detect (TBD)

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