• DocumentCode
    112497
  • Title

    A Pulse Compression Waveform for Weather Radars With Solid-State Transmitters

  • Author

    Chen Pang ; Hoogeboom, Peter ; Le Chevalier, Francois ; Russchenberg, Herman W. J. ; Jian Dong ; Tao Wang ; Xuesong Wang

  • Author_Institution
    Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    12
  • Issue
    10
  • fYear
    2015
  • fDate
    Oct. 2015
  • Firstpage
    2026
  • Lastpage
    2030
  • Abstract
    Due to the contradiction between the high sensitivity requirement and low transmission power of weather radars with solid-state transmitters, a pulse compression technique is necessary. For the purpose of range sidelobe suppression, methods based on amplitude modulation and a mismatched filter are commonly used for target detection radars, which are not applicable for weather observations because of its drawbacks such as main lobe expansion and power loss. This letter presents a nonlinear frequency modulation pulse compression waveform to achieve a very low range sidelobe level. A mathematical model for waveform design is established, in which the time-frequency relation is expressed as the combination of a linear function and a sine series. Thus, a set of parameters can fully characterize the time-frequency curve. By using a simulated annealing algorithm, the optimal parameter set can be obtained, which shows that a peak sidelobe level under -60 dB is achievable. Finally, this kind of waveform is implemented on hardware, and its performance is verified.
  • Keywords
    atmospheric techniques; geophysical signal processing; meteorological radar; object detection; pulse compression; radio transmitters; remote sensing by radar; simulated annealing; time-frequency analysis; amplitude modulation; linear function; lobe expansion; low range sidelobe level; low transmission power; mathematical model; mismatched filter; nonlinear frequency modulation pulse compression waveform technique; optimal parameter set; peak sidelobe level; power loss; range sidelobe suppression; simulated annealing algorithm; sine series; solid-state transmitters; target detection radars; time-frequency curve; time-frequency relation; waveform design; weather observations; weather radars; Amplitude modulation; Doppler effect; Frequency modulation; Meteorological radar; Meteorology; Optimization; Multiobjective optimization; nonlinear frequency modulation (NLFM); pulse compression; range sidelobe level; simulated annealing (SA);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2015.2443551
  • Filename
    7137618