Target geolocation in Gotcha data using panoramic processing

Unnikrishna Pillai; Ke Yong Li; Steven Scarborough

doi:10.1109/RADAR.2015.7130964

Target geolocation in Gotcha data using panoramic processing

Unnikrishna Pillai, Ke Yong Li, Steven Scarborough

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

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 language	English (US)
Article number	7130964
Pages (from-to)	21-26
Number of pages	6
Journal	IEEE National Radar Conference - Proceedings
Volume	2015-June
Issue number	June
DOIs	https://doi.org/10.1109/RADAR.2015.7130964
State	Published - Jun 22 2015
Event	2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States Duration: May 10 2015 → May 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

Access to Document

10.1109/RADAR.2015.7130964

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title = "Target geolocation in Gotcha data using panoramic processing",

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.",

keywords = "Clutter Suppression, Cross-channel interferometry, Ground Moving Target Indication (GMTI), Synthetic Aperture Radar (SAR), Target Geolocation",

author = "Unnikrishna Pillai and Li, {Ke Yong} and Steven Scarborough",

year = "2015",

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doi = "10.1109/RADAR.2015.7130964",

language = "English (US)",

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journal = "IEEE National Radar Conference - Proceedings",

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AU - Li, Ke Yong

AU - Scarborough, Steven

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N2 - 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.

AB - 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.

KW - Clutter Suppression

KW - Cross-channel interferometry

KW - Ground Moving Target Indication (GMTI)

KW - Synthetic Aperture Radar (SAR)

KW - Target Geolocation

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