• DocumentCode
    120515
  • Title

    Joint design transmission waveform and sensing matrix for the compressive sensing radar

  • Author

    Peng Chen ; Lenan Wu

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    23-25 July 2014
  • Firstpage
    558
  • Lastpage
    563
  • Abstract
    The problems of optimal design transmission waveform and sensing matrix in the compressive sensing radar (CSR) system were considered. A new iteration algorithm was proposed for joint design transmission waveform and sensing matrix. This algorithm had better rate of convergence and less mutual coherence than traditional design methods. We gave simulation results of the target detection performance of the CSR system using proposed algorithm in the delay-Doppler plane. The simulation results showed that the optimal design CSR system had better target detection performance than random choosing radar system under conditions of different SNR, number of measurements, and number of targets.
  • Keywords
    compressed sensing; iterative methods; matrix algebra; object detection; radar detection; compressive sensing radar system; delay-Doppler plane; iteration algorithm; joint design transmission waveform and sensing matrix; optimal design CSR system; target detection performance; Algorithm design and analysis; Coherence; Joints; Linear programming; Optimization; Radar; Sensors; compressive sensing radar (CSR); iteration algorithm; joint optimization; mutual coherence; orthogonal matching pursuit (OMP) algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/CSNDSP.2014.6923891
  • Filename
    6923891