Title
Limitations and capabilities of the slanted spectrogram analysis tool for SAR-based detection of multiple vibrating targets
Abstract
The recently developed improved spectrograms that use the discrete fractional fourier transform (DFrFT) are used to evaluate multiple vibration signatures that represent targets in synthetic aperture radar (SAR) data. Multiple ground target vibrations that introduce phase modulation in the SAR returned signals are examined using standard pre-processing of the return waveform signal followed by the application of the DFrFT. In this paper, we study the capabilities of these spectrogram tools with the intent of extending their limits by varying the characteristic features associated with each vibrating target which result in different outputs. The performance of the fractional spectrogram tools, under the effects of various parameters is used to clarify the limitations and advantages of these modified fractional spectrograms for SAR-based vibrometry applications.
Year
DOI
Venue
2014
10.1109/ACSSC.2014.7094421
Pacific Grove, CA
Keywords
Field
DocType
discrete Fourier transforms,object detection,phase modulation,radar detection,radar signal processing,synthetic aperture radar,vibration measurement,DFrFT application,SAR-based vibrometry applications,discrete fractional Fourier transform,multiple ground target vibration SAR detection,multiple vibration signature evaluation,phase modulation,return waveform signal pre-processing,slanted spectrogram analysis tool,synthetic aperture radar,target representation,clutter,discrete fractional Fourier transform,micro-Doppler effect,synthetic aperture radar,vibration estimation
Pulse-Doppler radar,Continuous-wave radar,Radar imaging,Synthetic aperture radar,Computer science,Spectrogram,Clutter,Electronic engineering,Inverse synthetic aperture radar,Fractional Fourier transform
Conference
ISSN
Citations 
PageRank 
1058-6393
1
0.37
References 
Authors
5
3
Name
Order
Citations
PageRank
Adebello Jelili110.37
Balu Santhanam2589.74
Majeed M. Hayat321326.36