Modified two-stage separated virtual steering vector-based algorithm for high resolution inverse synthetic aperture radar imaging

A computationally efficient propagator and two-stage separated virtual steering vector based algorithm (SVSV) is recently developed by D. Liu and J. Liang for two-dimensional (2D) frequency estimation. SVSV has introduced a novel electric angle z to jointly estimate the 2D components (frequencies or...

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Vydané v:Signal processing Ročník 93; číslo 1; s. 297 - 303
Hlavní autori: Ghulam Qadir, Shahida, Fan, Yangyu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Amsterdam Elsevier B.V 01.01.2013
Elsevier
Predmet:
Algorithms
Applied sciences
Detection, estimation, filtering, equalization, prediction
Estimates
Exact sciences and technology
High resolution
Image processing
Imaging
Information, signal and communications theory
Inverse synthetic aperture radar imaging
Mathematical analysis
Pakistan
Propagator method
Rank-reduction
Separated steering vector
Signal and communications theory
Signal processing
Signal, noise
Steering
Telecommunications and information theory
Two dimensional
Propagator method
Inverse synthetic aperture radar imaging
Separated steering vector
Rank-reduction
Electromagnetic wave scattering
Parameter estimation
High resolution
Multistage method
Fourier transformation
Signal estimation
Subspace method
Frequency estimation
Two dimensional model
Covariance matrix
Multiple scattering
Algorithm
Mismatching
Electromagnetic wave propagation
Imaging
Radar imaging
Signal processing
Localization
Synthetic aperture radar
ISSN:0165-1684, 1872-7557
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Popis
Shrnutí:A computationally efficient propagator and two-stage separated virtual steering vector based algorithm (SVSV) is recently developed by D. Liu and J. Liang for two-dimensional (2D) frequency estimation. SVSV has introduced a novel electric angle z to jointly estimate the 2D components (frequencies or scatterers' locations) and to avoid the incorrect mismatch. However, SVSV cannot resolve the multiple 2D components having equivalent value of z. This problem limits the use of SVSV in ISAR imaging application. Hence, in this paper, we have proposed a new modified SVSV method called MSVSV for 2D ISAR imaging. Main contributions of our work are: (a) use of the propagator based subspace methods (SVSV and MSVSV) for 2D high resolution ISAR imaging. (b) We have suggested a technique to estimate the number of unknown 2D components prior to calculating the propagator operator from the covariance matrix. (c) We have incorporated a technique, due to which MSVSV can successfully resolve the multiple scatterers sharing the same electric angles, where SVSV fails. Radar images are generated for simulated and experimental target data (collected at AERO, Pakistan) by using SVSV, MSVSV and conventional Fourier Transform methods.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2012.05.010