Random-noise polarimetry applications to subsurface probing

Ram M. Narayanan, Yi Xu, Paul D. Hoffmeyer, John O. Curtis

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

4 Scopus citations

Abstract

Random noise polarimetry is a new radar technique for high-resolution probing of subsurface objects and interfaces. Detection of buried targets is accomplished by cross-correlating the reflected signal by a time-delayed replica of the transmitted waveform. A unique signal processing scheme is used to inject coherent in the system to permit extraction of the wideband polarimetric scattering response of the buried object. This facilitates computation of the Stokes matrices of the target response which enhances the detection and identification process. Random noise polarimetry also possesses additional desirable features for subsurface probing such as immunity from detection and jamming. The paper discusses the theoretical foundations of random noise polarimetry and presents data acquired from various targets using a 1 - 2 GHz radar system fabricated by the University of Nebraska under contract to the U.S. Army Waterways Experiment Station. In addition, various signal processing algorithms used to analyze the polarimetric data are presented.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsAbinash C. Dubey, Robert L. Barnard, Colin J. Lowe, John E. McFee
Pages360-370
Number of pages11
StatePublished - Jan 1 1996
EventDetection and Remediation Technologies for Mines and Minelike Targets - Orlando, FL, USA
Duration: Apr 9 1996Apr 12 1996

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2765

Other

OtherDetection and Remediation Technologies for Mines and Minelike Targets
CityOrlando, FL, USA
Period4/9/964/12/96

All Science Journal Classification (ASJC) codes

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

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