Abstract
In this paper, the strip
synthetic aperture radar (SAR) image of a composite vehicle–ground
model is simulated by combining the electromagnetic scattering
algorithm and radar imaging algorithm. A linear frequency modulated
wave is incident on the composite model, which is partitioned into a
mass of triangular patches. In the “stop-and-go” radar mode, for each
patch, the amplitude of scattered echo in the frequency domain is
solved by a hybrid method of physical optics (PO)–shooting and
bouncing ray (SBR)–physical theory of diffraction (PTD). For the
composite model, the total scattered echo in terms of range frequency
and azimuth time is obtained by the vector superposition of echo on
patches. Then the SAR image of the composite model is generated by the
range–Doppler algorithm. In numerical simulations, both the
electromagnetic scattering of a target by the SBR-PTD method and
composite scattering by the PO-SBR-PTD method are validated and
evaluated by comparing with the multilevel fast multipole method
(MLFMM) in FEKO software. Moreover, the SAR image of the composite
vehicle–ground model is also compared with the real image in Moving
and Stationary Target Acquisition and Recognition database, which
verifies the feasibility of the proposed method. SAR images of the
composite model for different incident angles are also presented and
analyzed.
Funder
National Natural Science Foundation of
China
Chinese Aeronautical
Establishment
Foundation for Innovative Research Groups
of the National Natural Science Foundation of China
Subject
Computer Vision and Pattern Recognition,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials