• DocumentCode
    239608
  • Title

    A pulse-Doppler processing scheme for quadrature compressive sampling radar

  • Author

    Chao Liu ; Feng Xi ; Shengyao Chen ; Zhong Liu

  • Author_Institution
    Dept. of Electron. Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2014
  • fDate
    20-23 Aug. 2014
  • Firstpage
    676
  • Lastpage
    681
  • Abstract
    Quadrature compressive sampling (QuadCS) is a sub-Nyquist sampling system for acquiring inphase and quadrature (I/Q) components of radio-frequency signals. This paper discusses the application of the QuadCS system to pulse-Doppler radars and develops a compressive sampling pulse-Doppler (CoSaPD) processing scheme from the sub-Nyquist samples. The Doppler estimation is realized through spectrum analyzer as in classic processing. The detection is done on the Doppler bin data. The range estimation is performed through sparse recovery algorithms on the detected targets. Due to inherent detection property of the recovery algorithms, the detection threshold can be set at a low value and then the introduced false targets are removed in the range estimation stage. Simulation results show that the CoSaPD scheme with the data at one eighth the Nyquist rate and for SNR above -25dB can achieve performance of the classic processing with Nyquist samples.
  • Keywords
    Doppler radar; compressed sensing; radar detection; signal sampling; CoSaPD processing scheme; Doppler estimation; I/Q components; QuadCS; SNR; compressive sampling pulse-Doppler processing scheme; detection property; detection threshold; inphase and quadrature components; pulse-Doppler radars; quadrature compressive sampling radar; radio-frequency signals; range estimation; spectrum analyzer; sub-Nyquist sampling system; through sparse recovery algorithms; Detectors; Discrete Fourier transforms; Doppler effect; Estimation; Radar; Signal to noise ratio; compressive sampling; pulse-Doppler processing; quadrature sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2014 19th International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICDSP.2014.6900750
  • Filename
    6900750