Target geolocation in Gotcha data using panoramic processing

Unnikrishna Pillai, Ke Yong Li, Steven Scarborough

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

Abstract

Any signal processing methodology when blindly applied to realistic data sets generates a significant number of false targets along with estimates for the true moving targets. In an effort to isolate the true movers from the false targets, a new approach exploiting spatio-temporal connectivity in addition to signal processing algorithms involving imaging and interferometry is proposed here to geolocate the movers in a measured data set.

Original languageEnglish (US)
Title of host publicationIEEE National Radar Conference - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages21-26
Number of pages6
Volume2015-June
EditionJune
DOIs
StatePublished - Jun 22 2015
Event2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States
Duration: May 10 2015May 15 2015

Other

Other2015 IEEE International Radar Conference, RadarCon 2015
CountryUnited States
CityArlington
Period5/10/155/15/15

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Keywords

  • Clutter Suppression
  • Cross-channel interferometry
  • Ground Moving Target Indication (GMTI)
  • Synthetic Aperture Radar (SAR)
  • Target Geolocation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Pillai, U., Li, K. Y., & Scarborough, S. (2015). Target geolocation in Gotcha data using panoramic processing. In IEEE National Radar Conference - Proceedings (June ed., Vol. 2015-June, pp. 21-26). [7130964] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2015.7130964