• DocumentCode
    621511
  • Title

    Asynchronous compressive sensing in radar systems

  • Author

    Jun Zhou ; Palermo, Samuel ; Sadler, B.M. ; Hoyos, Sebastian

  • Author_Institution
    Texas A&M Univ., College Station, TX, USA
  • fYear
    2013
  • fDate
    4-5 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we present an asynchronous compressive sensing front-end for radar systems. By using a continuous-time ternary encoding scheme (CT-TE), the amplitude variations on radar pulses are converted into timing information. The oversampling architecture mitigates the quantization error and improves time-delay estimation accuracy. The high data volume resulting from oversampling is reduced by using compressive sensing (CS) in the digital domain. Moreover, the high power consumption of randomization in an analog CS front-end is avoided in the proposed asynchronous scheme by using a part-time operation strategy in the most power demanding modules. Simulations show that the proposed scheme achieves a better range accuracy and probability of detection at sub-Nyquist rate compared to a conventional system that uses oversampling ADCs.
  • Keywords
    compressed sensing; probability; radar signal processing; CT-TE scheme; amplitude variations; asynchronous compressive sensing front-end; continuous-time ternary encoding scheme; oversampling architecture; part-time operation strategy; probability; quantization error; radar pulses; radar systems; sub-Nyquist rate; time-delay estimation accuracy; Accuracy; Bandwidth; Compressed sensing; Noise; Quantization (signal); Radar; Thermal noise; asynchronous; compressive sensing; continuous-time ternary encoding; part-time randomization; time-delay accuracy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Microwave Circuits and Systems (WMCS), 2013 Texas Symposium on
  • Conference_Location
    Waco, TX
  • Print_ISBN
    978-1-4799-0456-3
  • Type

    conf

  • DOI
    10.1109/WMCaS.2013.6563556
  • Filename
    6563556