• DocumentCode
    1781222
  • Title

    Design of digital pulse compression filters using convex optimization

  • Author

    Guo Guo-qiang ; Yu Lei ; Lei Zhi-yong

  • Author_Institution
    Nanjing Res. Inst. of Electron. Technol., Nanjing, China
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Lastpage
    1001
  • Abstract
    A method of digital pulse compression filters design using convex optimization is proposed in this paper. This method can provide the optimal tradeoff among the width of main lobe, the peak side lobe level, the gain loss and the Doppler tolerance. For different application situations, two different optimization rules are presented, including minimizing the peak side lobe level and minimizing the gain loss. Using different optimization rules, digital pulse compression filters with different desiring responses can be designed flexibly for practice applications. The simulation results illustrate the efficiency of the proposed method.
  • Keywords
    Doppler effect; convex programming; filtering theory; minimisation; pulse compression; Doppler tolerance; convex optimization; digital pulse compression filter design; gain loss minimization; peak side lobe level minimization; Convex functions; Digital filters; Doppler effect; Educational institutions; Gain; Radar; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2014 IEEE
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4799-2034-1
  • Type

    conf

  • DOI
    10.1109/RADAR.2014.6875738
  • Filename
    6875738