Abstract

Ground-moving-Target indicator (GMTI) has been widely studied and can be formulated into a multiple-input multiple-output (MIMO) radar scenario by taking the advantage of MIMO. Usually, adaptive technique is required for GMTI MIMO radar, which includes space-Time adaptive processing (STAP) and invariance statistics technique (invariance on local ground clutter) as we proposed in this paper. However, GMTI system still suffers from some non-idealities when the adaptive technique is applied. Typically, the model mismatch problem degrades the performance of the adaptive technique. Therefore, the model mismatch analysis of both STAP and invariance technique is investigated in this paper.

Original languageEnglish (US)
Title of host publication2016 IEEE Radar Conference, RadarConf 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509008636
DOIs
StatePublished - Jun 3 2016
Event2016 IEEE Radar Conference, RadarConf 2016 - Philadelphia, United States
Duration: May 2 2016May 6 2016

Other

Other2016 IEEE Radar Conference, RadarConf 2016
CountryUnited States
CityPhiladelphia
Period5/2/165/6/16

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications
  • Instrumentation

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  • Cite this

    Yu, H., Jiang, X., & Bliss, D. (2016). GMTI mismatch analysis for local invariance clutter mitigation. In 2016 IEEE Radar Conference, RadarConf 2016 [7485081] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2016.7485081