• DocumentCode
    540640
  • Title

    Iterative DEM retrieving from multi-baseline interferometric SAR with MIMO

  • Author

    Shi, Xiaojin ; Zhang, Yunhua

  • Author_Institution
    Center for Space Sci. & Appl. Res., CAS, Beijing, China
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    1388
  • Lastpage
    1391
  • Abstract
    In the recent years, there has been growing interest in exploiting multi-baseline synthetic aperture radar interferometry (MB-InSAR) to solve layover effects and phase unwrapping problem of long baseline. In this paper we propose a novel system concept for MB-InSAR based on Multiple-Input Multiple-Output (MIMO) configuration. Alamouti space-time coding scheme based on two transmitters is introduced into multi-baseline InSAR system. We investigate its performance and processing features based on our space-borne multi-baseline InSAR simulator and iterative multi-baseline data fusion algorithm. The simulation results shows that the received signal to noise ratio (SNR) and the precision of iterative multi-baseline data fusion algorithm are significantly improved under Alamouti scheme.
  • Keywords
    MIMO radar; digital elevation models; iterative methods; radar interferometry; radio transmitters; space-time codes; synthetic aperture radar; Alamouti space-time coding scheme; DEM retrieving; MB-InSAR; MIMO; interferometric SAR; iterative algorithm; multi-baseline data fusion; multiple input multiple output; signal to noise ratio; synthetic aperture radar interferometry; transmitters; Filtering; Fuses; Heart rate; MIMO; Radar tracking; Satellites; Signal to noise ratio; Alamouti Scheme; Date Fusion; InSAR; Multi-baseline; Multiple Input and Multiple Output (MIMO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference Proceedings (APMC), 2010 Asia-Pacific
  • Conference_Location
    Yokohama
  • Print_ISBN
    978-1-4244-7590-2
  • Electronic_ISBN
    978-1-902339-22-2
  • Type

    conf

  • Filename
    5728522