• DocumentCode
    1308740
  • Title

    Real-Time Raw-Signal Simulation Algorithm for InSAR Hardware-in-the-Loop Simulation Applications

  • Author

    He, Zhihua ; He, Feng ; Dong, Zhen ; Liang, Diannong

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    9
  • Issue
    1
  • fYear
    2012
  • Firstpage
    134
  • Lastpage
    138
  • Abstract
    To address the new requirements for InSAR raw-signal simulation for hardware-in-the-loop simulation application, a real-time raw-signal simulation algorithm with high accuracy is proposed. The raw signal is expressed as the convolution of the transmitting signal and the scene modulation signal (SMS), and the convolution is then implemented using the fast Fourier transform. The SMS is calculated by the position approximation in the time domain, and an interpolation technique is used to maintain the accuracy of the fast approximation algorithm. The SMS is filtered to the radar sampling frequency for real-time implementation. The approximation error of the fast algorithm is analyzed quantitatively to obtain the minimum interpolation factor. Ground-based hardware-in-the-loop simulation results are provided to validate the algorithm.
  • Keywords
    approximation theory; convolution; fast Fourier transforms; geophysical signal processing; geophysical techniques; interpolation; radar interferometry; remote sensing by radar; synthetic aperture radar; InSAR hardware-in-the-loop simulation; convolution algorithm; fast Fourier transform; fast approximation algorithm; ground-based hardware-in-the-loop simulation; interpolation technique; radar sampling frequency; real-time raw-signal simulation algorithm; scene modulation signal; Approximation algorithms; Azimuth; Interpolation; Manganese; Radar; Real time systems; Fast algorithm; hardware-in-the-loop simulation; interferometric synthetic aperture radar (InSAR); raw signal; real-time simulation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2011.2162223
  • Filename
    6003757