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Synthetic aperture processing for passive co-prime linear sensor arrays

Publication ,  Journal Article
Ramirez, J; Krolik, JL
Published in: Digital Signal Processing: A Review Journal
February 1, 2017

In this paper, we explore the use of synthetic aperture processing for optimizing the spatial covariance estimation capabilities of a moving linear co-prime sensor array. The linear co-prime sensor array geometry is a thinned linear array that is constructed by nesting uniform linear arrays with inter-related element spacing factors. The application of synthetic aperture processing in this setting is designed to create virtual sensors at missing half-wavelength intervals up to the degree required to produce a hole-free difference co-array across the full aperture of the synthetic array. Once a full set of spatial covariances are estimated covariance matrix based array processing methods can be applied as if the synthetic array were a uniform linear array. In this sense, the synthetic array is designed to approximate a uniform linear array while it retains a thinned linear array structure. We show simulation results examining the quality of the uniform linear array approximation afforded by this application synthetic aperture processing.

Duke Scholars

Published In

Digital Signal Processing: A Review Journal

DOI

ISSN

1051-2004

Publication Date

February 1, 2017

Volume

61

Start / End Page

62 / 75

Related Subject Headings

  • Networking & Telecommunications
  • 46 Information and computing sciences
  • 40 Engineering
  • 1005 Communications Technologies
  • 0913 Mechanical Engineering
  • 0906 Electrical and Electronic Engineering
 

Citation

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Ramirez, J., & Krolik, J. L. (2017). Synthetic aperture processing for passive co-prime linear sensor arrays. Digital Signal Processing: A Review Journal, 61, 62–75. https://doi.org/10.1016/j.dsp.2016.07.021
Ramirez, J., and J. L. Krolik. “Synthetic aperture processing for passive co-prime linear sensor arrays.” Digital Signal Processing: A Review Journal 61 (February 1, 2017): 62–75. https://doi.org/10.1016/j.dsp.2016.07.021.
Ramirez J, Krolik JL. Synthetic aperture processing for passive co-prime linear sensor arrays. Digital Signal Processing: A Review Journal. 2017 Feb 1;61:62–75.
Ramirez, J., and J. L. Krolik. “Synthetic aperture processing for passive co-prime linear sensor arrays.” Digital Signal Processing: A Review Journal, vol. 61, Feb. 2017, pp. 62–75. Scopus, doi:10.1016/j.dsp.2016.07.021.
Ramirez J, Krolik JL. Synthetic aperture processing for passive co-prime linear sensor arrays. Digital Signal Processing: A Review Journal. 2017 Feb 1;61:62–75.
Journal cover image

Published In

Digital Signal Processing: A Review Journal

DOI

ISSN

1051-2004

Publication Date

February 1, 2017

Volume

61

Start / End Page

62 / 75

Related Subject Headings

  • Networking & Telecommunications
  • 46 Information and computing sciences
  • 40 Engineering
  • 1005 Communications Technologies
  • 0913 Mechanical Engineering
  • 0906 Electrical and Electronic Engineering