• DocumentCode
    3564443
  • Title

    Sensitivity simulation of compressed sensing based EW receiver using orthogonal matching pursuit algorithm

  • Author

    Liou, Lee L. ; Lin, David M. ; Lin, Ethan ; Chen, Chien-In H.

  • Author_Institution
    Sensor Directorate, US Air Force Res. Lab., Wright-Patterson AFB, OH, USA
  • fYear
    2014
  • Firstpage
    89
  • Lastpage
    94
  • Abstract
    The wideband coverage of the traditional FFT-based electronic warfare (EW) receiver is limited by the sampling frequency of the analog-to-digital converter (ADC). Compressed sensing (CS) based wideband EW digital receiver has been proposed and under development to process wideband sparse signals with reduced sampling rate. In this study, we calculate the sensitivity of a CS based EW receiver. Two modulation schemes of CS are used. One is pseudorandom chip (PRC) and the other is non-uniform sampling (NUS) modulation. The orthogonal matching pursuit (OMP) algorithm is used to process CS data. The insufficient nature of the sparcity of the signal adversely affects the signal detection probability for both PRC and NUS modulation schemes. Methods to remedy this problem in both modulation schemes are proposed. The improvement in the signal detection and thus the sensitivity performance of the CS based receiver are presented.
  • Keywords
    analogue-digital conversion; compressed sensing; electronic warfare; fast Fourier transforms; signal detection; ADC; FFT-based electronic warfare receiver; analog-to-digital converter; compressed sensing; nonuniform sampling modulation; orthogonal matching pursuit algorithm; pseudorandom chip; sampling frequency; sensitivity simulation; signal detection probability; wideband EW digital receiver; wideband sparse signals; Accuracy; Frequency measurement; Matching pursuit algorithms; Modulation; Probability density function; Receivers; Sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace and Electronics Conference, NAECON 2014 - IEEE National
  • Print_ISBN
    978-1-4799-4690-7
  • Type

    conf

  • DOI
    10.1109/NAECON.2014.7045784
  • Filename
    7045784