Moving target geolocation in bistatic/passive SAR images using ATI

Ke Yong Li; Unnikrishna Pillai; Braham Himed

doi:10.1109/RADAR.2015.7130968

Moving target geolocation in bistatic/passive SAR images using ATI

Ke Yong Li, Unnikrishna Pillai, Braham Himed

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In an effort to image and geolocate moving targets using transmitters of opportunity (Passive radar), three situations - Monostatic LFM, bistatic LFM and bistatic OFDM are considered. Here OFDM waveform plays the role of an ideal LFM waveform that has superior resolution. In the case of moving targets, the shift in their imaged locations by virtue of their motion are accounted for in terms of target radial velocity. This allows us to correctly geolocate the moving targets both in the monostatic and bistatic cases knowing the target signature location along with its radial velocity. The results are verified using realistic multiple moving targets in moderate clutter to account for various moving target scenarios.

Original language	English (US)
Title of host publication	2015 IEEE International Radar Conference, RadarCon 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	45-50
Number of pages	6
Edition	June
ISBN (Electronic)	9781479982325
DOIs	https://doi.org/10.1109/RADAR.2015.7130968
State	Published - Jun 22 2015
Event	2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States Duration: May 10 2015 → May 15 2015

Publication series

Name	IEEE National Radar Conference - Proceedings
Number	June
Volume	2015-June
ISSN (Print)	1097-5659

Other

Other	2015 IEEE International Radar Conference, RadarCon 2015
Country/Territory	United States
City	Arlington
Period	5/10/15 → 5/15/15

Keywords

Along track interferometry (ATI)
Bistatic synthetic aperture radar (SAR)
Ground Moving Target Indication (GMTI)
Moving target geolocation

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/RADAR.2015.7130968

Cite this

Li, K. Y., Pillai, U., & Himed, B. (2015). Moving target geolocation in bistatic/passive SAR images using ATI. In 2015 IEEE International Radar Conference, RadarCon 2015 (June ed., pp. 45-50). Article 7130968 (IEEE National Radar Conference - Proceedings; Vol. 2015-June, No. June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2015.7130968

Moving target geolocation in bistatic/passive SAR images using ATI. / Li, Ke Yong; Pillai, Unnikrishna; Himed, Braham.
2015 IEEE International Radar Conference, RadarCon 2015. June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 45-50 7130968 (IEEE National Radar Conference - Proceedings; Vol. 2015-June, No. June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, KY, Pillai, U & Himed, B 2015, Moving target geolocation in bistatic/passive SAR images using ATI. in 2015 IEEE International Radar Conference, RadarCon 2015. June edn, 7130968, IEEE National Radar Conference - Proceedings, no. June, vol. 2015-June, Institute of Electrical and Electronics Engineers Inc., pp. 45-50, 2015 IEEE International Radar Conference, RadarCon 2015, Arlington, United States, 5/10/15. https://doi.org/10.1109/RADAR.2015.7130968

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abstract = "In an effort to image and geolocate moving targets using transmitters of opportunity (Passive radar), three situations - Monostatic LFM, bistatic LFM and bistatic OFDM are considered. Here OFDM waveform plays the role of an ideal LFM waveform that has superior resolution. In the case of moving targets, the shift in their imaged locations by virtue of their motion are accounted for in terms of target radial velocity. This allows us to correctly geolocate the moving targets both in the monostatic and bistatic cases knowing the target signature location along with its radial velocity. The results are verified using realistic multiple moving targets in moderate clutter to account for various moving target scenarios.",

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N2 - In an effort to image and geolocate moving targets using transmitters of opportunity (Passive radar), three situations - Monostatic LFM, bistatic LFM and bistatic OFDM are considered. Here OFDM waveform plays the role of an ideal LFM waveform that has superior resolution. In the case of moving targets, the shift in their imaged locations by virtue of their motion are accounted for in terms of target radial velocity. This allows us to correctly geolocate the moving targets both in the monostatic and bistatic cases knowing the target signature location along with its radial velocity. The results are verified using realistic multiple moving targets in moderate clutter to account for various moving target scenarios.

AB - In an effort to image and geolocate moving targets using transmitters of opportunity (Passive radar), three situations - Monostatic LFM, bistatic LFM and bistatic OFDM are considered. Here OFDM waveform plays the role of an ideal LFM waveform that has superior resolution. In the case of moving targets, the shift in their imaged locations by virtue of their motion are accounted for in terms of target radial velocity. This allows us to correctly geolocate the moving targets both in the monostatic and bistatic cases knowing the target signature location along with its radial velocity. The results are verified using realistic multiple moving targets in moderate clutter to account for various moving target scenarios.

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Moving target geolocation in bistatic/passive SAR images using ATI

Abstract

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Keywords

ASJC Scopus subject areas

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