• DocumentCode
    508561
  • Title

    Poly-phase encoded waveform optimal design for space-borne MISO radar systems

  • Author

    Weiping Li ; Guisheng Liao ; Haihong Tao ; Ming Jin

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an
  • fYear
    2009
  • fDate
    20-22 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The application of multiple input techniques to sparse space- borne radar offers a number of advantages, including mitigating the effect of the target scintillation and being more freedom of signal processing. A novel orthogonal poly-phase encoded waveform optimization design method is presented. It is combined the genetic algorithm (GA) with the frequency functions designed by window functions to reduce the computation complexity. For the radar system, multiple transmissions of orthogonal coding signal and single reception, the high ISL of the optimized waveforms may cause degradation of the detection performance of the ground moving target. So, there is a trade-off optimization between the orthogonality and side-lobes of the signals. Simulation results show the effect of the transmission waveforms characteristic on the system´s detection performance.
  • Keywords
    genetic algorithms; orthogonal codes; phase coding; radar detection; radar signal processing; spaceborne radar; waveform analysis; computation complexity; frequency functions; genetic algorithm; ground moving target performance; multiple transmissions; orthogonal coding signal detection; poly-phase encoded waveform optimal design; signal processing; single reception; space-borne MISO radar systems; target scintillation effect; window functions; Integrated side-lobe level (ISL); Poly-phase orthogonal code optimal design; Sparse space-borne MISO radar;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Radar Conference, 2009 IET International
  • Conference_Location
    Guilin
  • ISSN
    0537-9989
  • Print_ISBN
    978-1-84919-010-7
  • Type

    conf

  • Filename
    5367424