Statistical performance analysis for GMTI using ATI phase distribution

Unnikrishna Pillai, Ke Yong Li, Uttam Majumder, Michael J. Minardi, David Sobota

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Synthetic aperture radar (SAR) imaging is often used to image an area using airborne platforms that generate a large aperture by virtue of the platform motion. Large apertures generate a large synthetic array providing fine cross-range resolution, and together with wide bandwidth waveforms that provide high range resolution, fine resolution images can be generated. SAR algorithms make use of coherent phase compensation from various pulses for focusing and the technique works exceedingly well for scenes containing stationary scattering centers. When moving targets are present, their images are smeared and shifted due to the motion, and to take advantage of this shift, nearby receiver plates are used to form multiple SAR images and together with along track interferometry (ATI), it generates a phase factor that can be used to detect moving target presence. This paper examines the distribution of the phase variable used in ATI for zero mean Complex Gaussian clutter/target data, and uses the results to address the target in clutter problem as a hypothesis testing problem to compute the probability of detection/false alarm as a function of target to clutter ratio and its velocity.

Original languageEnglish (US)
Title of host publicationAlgorithms for Synthetic Aperture Radar Imagery XXIII
PublisherSPIE
Volume9843
ISBN (Electronic)9781510600843
DOIs
StatePublished - 2016
EventAlgorithms for Synthetic Aperture Radar Imagery XXIII - Baltimore, United States
Duration: Apr 21 2016 → …

Other

OtherAlgorithms for Synthetic Aperture Radar Imagery XXIII
CountryUnited States
CityBaltimore
Period4/21/16 → …

Fingerprint

Interferometry
Synthetic aperture radar
Performance Analysis
Statistical Analysis
Synthetic Aperture
interferometry
Clutter
clutter
synthetic aperture radar
Moving Target
Radar
Target
Radar imaging
Optical resolving power
Image resolution
synthetic arrays
Radar Imaging
Probability of Detection
platforms
apertures

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Pillai, U., Li, K. Y., Majumder, U., Minardi, M. J., & Sobota, D. (2016). Statistical performance analysis for GMTI using ATI phase distribution. In Algorithms for Synthetic Aperture Radar Imagery XXIII (Vol. 9843). [984307] SPIE. https://doi.org/10.1117/12.2224751

Statistical performance analysis for GMTI using ATI phase distribution. / Pillai, Unnikrishna; Li, Ke Yong; Majumder, Uttam; Minardi, Michael J.; Sobota, David.

Algorithms for Synthetic Aperture Radar Imagery XXIII. Vol. 9843 SPIE, 2016. 984307.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pillai, U, Li, KY, Majumder, U, Minardi, MJ & Sobota, D 2016, Statistical performance analysis for GMTI using ATI phase distribution. in Algorithms for Synthetic Aperture Radar Imagery XXIII. vol. 9843, 984307, SPIE, Algorithms for Synthetic Aperture Radar Imagery XXIII, Baltimore, United States, 4/21/16. https://doi.org/10.1117/12.2224751
Pillai U, Li KY, Majumder U, Minardi MJ, Sobota D. Statistical performance analysis for GMTI using ATI phase distribution. In Algorithms for Synthetic Aperture Radar Imagery XXIII. Vol. 9843. SPIE. 2016. 984307 https://doi.org/10.1117/12.2224751
Pillai, Unnikrishna ; Li, Ke Yong ; Majumder, Uttam ; Minardi, Michael J. ; Sobota, David. / Statistical performance analysis for GMTI using ATI phase distribution. Algorithms for Synthetic Aperture Radar Imagery XXIII. Vol. 9843 SPIE, 2016.
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