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


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
EditorsEdmund Zelnio, Frederick D. Garber
ISBN (Electronic)9781510600843
StatePublished - 2016
EventAlgorithms for Synthetic Aperture Radar Imagery XXIII - Baltimore, United States
Duration: Apr 21 2016 → …

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherAlgorithms for Synthetic Aperture Radar Imagery XXIII
Country/TerritoryUnited States
Period4/21/16 → …

ASJC Scopus subject areas

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


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