• DocumentCode
    67497
  • Title

    Spectrally Constrained Waveform Design [sp Tips&Tricks]

  • Author

    Rowe, Wayne ; Stoica, Petre ; Jian Li

  • Author_Institution
    Univ. of Florida, Gainesville, FL, USA
  • Volume
    31
  • Issue
    3
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    157
  • Lastpage
    162
  • Abstract
    In active sensing, transmitters emit probing waveforms into the environment. The probing waveforms interact with scatters that reflect distorted copies of the waveforms. Receivers then measure the distorted copies to infer information about the environment. The choice of the probing waveform is important because it affects slant range resolution, Doppler tolerance, clutter, and electronic countermeasures. A traditional performance metric for the probing waveform is the ambiguity function, which describes the correlation between the waveform and a delayed and (narrow-band) Doppler shifted copy of the same waveform [1]. The direct synthesis of a waveform given a desired ambiguity function is exceedingly difficult [2]. Often designers focus on optimizing only the waveform´s autocorrelation function (which is the zero Doppler cut of the ambiguity function). Any method that optimizes the autocorrelation function is implicitly performing spectral shaping by trying to flatten the passband of the waveform´s spectrum [1], [2].
  • Keywords
    transmitters; waveform analysis; Doppler tolerance; active sensing; autocorrelation function; probing waveforms; slant range resolution; spectral shaping; spectrally constrained waveform design; transmitters; zero Doppler cut; Algorithm design and analysis; Cost function; Scattering; Sensors; Signal processing algorithms; Waveforms; Web sites;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2014.2301792
  • Filename
    6784117