Target geolocation in Gotcha data using panoramic processing

Unnikrishna Pillai, Ke Yong Li, Steven Scarborough

Research output: Contribution to journalConference article

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)
Article number7130964
Pages (from-to)21-26
Number of pages6
JournalIEEE National Radar Conference - Proceedings
Volume2015-June
Issue numberJune
DOIs
StatePublished - Jun 22 2015
Event2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States
Duration: May 10 2015May 15 2015

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

Fingerprint Dive into the research topics of 'Target geolocation in Gotcha data using panoramic processing'. Together they form a unique fingerprint.

  • Cite this