DocumentCode
483954
Title
Localization of Inanimate Moving Targets Using Dual-Frequency Synthetic Aperture Radar and Time-Frequency Analysis
Author
Zhang, Yimin ; Amin, Moeness ; Ahmad, Fauzia
Author_Institution
Center for Adv. Commun., Villanova Univ., PA
Volume
2
fYear
2008
fDate
7-11 July 2008
Abstract
An important task in urban sensing applications is to accurately localize moving and vibrating targets in the presence of significant background clutter. A dual-frequency CW radar, which estimates the range of a target based on the phase difference between two closely spaced frequencies, has been shown to be a cost-effective approach for range estimation of a moving target. Previous work has shown that the use of Fourier transform and time-frequency analysis techniques provides an estimate of Doppler signature and enhanced signal-to-noise ratio (SNR), thereby enabling the range estimation of moving targets and significantly improving the estimation accuracy. In this paper, we consider the combined use of these technologies with a synthetic aperture array for the localization of inanimate moving targets. The synthetic array aperture provides the capability of high-resolution spatial localization of inanimate moving targets, as well as determining the orientation of the rotation or vibration.
Keywords
Fourier transforms; remote sensing by radar; terrain mapping; time-frequency analysis; Doppler signature; Fourier transform; background clutter; closely spaced frequencies; dual-frequency CW radar; high- resolution target localization; high-resolution spatial localization; localize moving targets; phase difference; range estimation; signal-to-noise ratio; synthetic aperture array; time-frequency analysis techniques; urban sensing applications; vibrating targets; Doppler radar; Fourier transforms; Frequency estimation; Phase estimation; Radar antennas; Radar imaging; Signal to noise ratio; Spaceborne radar; Synthetic aperture radar; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4778920
Filename
4778920
Link To Document