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An Iterative procedure for ultra-wideband imagery of space objects from distributed multi-band radar data

  • Xiaojian Xu*
  • , Feiyang He
  • *Corresponding author for this work
  • Beihang University

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

Abstract

A novel technique is proposed for ultra-wideband imagery of space objects from distributed multi-band radar data. The complex exponential (CE) model is used for representation of ultra-wideband radar signals, where an iterative procedure is developed for optimized model parameter estimation. A subband coherent processing technique is developed which combines the de-noising cross-correlation (DNCC) algorithm with statistical method to obtain the phase and amplitude incoherent parameters (ICP) between subbands. Ultra-wideband data fusion via two-dimensional gapped-data state space approach (2-D GSSA) is then applied to multiple subband signals for supper-resolution imagery. Experiments using computational electromagnetic data from the method of moment (MoM) as well as anechoic chamber measurement data are used to validate the proposed technique and demonstrate its applications.

Original languageEnglish
Title of host publicationUnconventional Imaging and Wavefront Sensing 2014
EditorsVictor L. Gamiz, Jean J. Dolne, Thomas J. Karr
PublisherSPIE
ISBN (Electronic)9781628412543
DOIs
StatePublished - 2014
EventUnconventional Imaging and Wavefront Sensing 2014 - San Diego, United States
Duration: 18 Aug 201421 Aug 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9227
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceUnconventional Imaging and Wavefront Sensing 2014
Country/TerritoryUnited States
CitySan Diego
Period18/08/1421/08/14

Keywords

  • Coherent processing
  • Complex exponential model
  • Distributed radar
  • Radar imagery
  • Stat space approach
  • Super-resolution imaging
  • Synthetic aperture radar
  • Ultra-wideband

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