• DocumentCode
    576430
  • Title

    MIMO SAR system using digital implemented OFDM waveforms

  • Author

    Jie Wang ; Xingdong Liang ; Longyong Chen

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Microwave Imaging, Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7428
  • Lastpage
    7431
  • Abstract
    This paper designs a multi-input multi-output (MIMO) synthetic aperture radar (SAR) system using digital implemented orthogonal frequency division multiplexing (OFDM) waveforms, which can not only avoid ambiguous energy caused by the nonideal orthogonality of current-taken MIMO SAR waveforms, but also reduce the pulse repetition frequency (PRF) by a factor of 2Nl -1, where l N denotes the number of subapertures. One linearly frequency modulated (LFM) signal sampled in frequency domain is modulated into the odd subcarrier frequencies of OFDM waveforms, and another as the weights of even subcarrier frequencies. In order to avoid aliasing in time domain caused by extracting the weights of subcarrier frequencies, the sliding discrete Fourier transform (SDFT) is used for demodulation. The procedure of MIMO-OFDM SAR imaging is detailed. Theoretical analysis and simulation results illustrate the feasibility of this system.
  • Keywords
    FM radar; MIMO radar; OFDM modulation; demodulation; discrete Fourier transforms; radar imaging; signal sampling; synthetic aperture radar; time-frequency analysis; LFM; MIMO; SAR imaging; SDFT; demodulation; digital implemented OFDM waveform; frequency domain analysis; linear frequency modulation; multiple input multiple output; orthogonal frequency division multiplexing; signal sampling; sliding discrete Fourier transform; subcarrier frequency weight extraction; synthetic aperture radar; time domain analysis; Azimuth; Frequency domain analysis; Frequency modulation; MIMO; OFDM; Radar polarimetry; Synthetic aperture radar; MIMO; OFDM; SAR; SDFT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351944
  • Filename
    6351944