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This book is based on the latest research on ISAR imaging of moving
targets and non-cooperative target recognition (NCTR). It focuses
on how to generate high-resolution ISAR images of targets of
interest and how to deal with factors that affect the process. It
also looks at extracting information from ISAR images and
performing non-cooperative target recognition (NCTR) of moving
targets."Inverse Synthetic Aperture Radar Imaging" covers the more
detailed image formation and auto-focusing algorithms as well as
applications of these algorithms to real world ISAR imaging. It
also includes MATLAB source codes for the simulation of radar
scattering from moving targets, implementations of ISAR image
formation, auto-focusing, and imaging time selection, and
simulations of bi-static and multi-static ISAR imaging
algorithms."Inverse Synthetic Aperture Radar Imaging" provides
readers with a working knowledge of the subject. Some key topics
include: monostatic and bistatic RCS models for ISAR, point spread
function and 2-D imaging, polarimetric ISAR, interferometry in
ISAR, bandwidth extrapolation technique in ISAR, multi-window
spectrum estimation, clean algorithm, effect of rotational motion
on ISAR imaging, selection of optimal imaging timewindow, ISAR
imaging in low SNR and in strong clutter, micro-Doppler features in
ISAR, estimation of rotation in ISAR, multipath in ISAR, distortion
analysis for bistatic ISAR, emulated bistatic ISAR, and multistatic
ISAR.
Written by a prominent expert in the field, this updated and
expanded second edition of an Artech House classic includes the
most recent breakthroughs in vital sign and gender recognition via
micro-radar, as well as covering basic principles of Doppler effect
and micro-Doppler effect and describing basic applications of
micro-Doppler signatures in radar. The book presents detailed
procedures about how to generate and analyze micro-Doppler
signatures from radar signals. Readers will learn how to model and
animate an object (such as human, spinning top, rotating rotor
blades) with movement, simulation of radar returns from the object,
and generating micro-Doppler signature. The book includes coverage
of the Google project "Soli", which demonstrated the use of radar
micro-Doppler effect to sense and recognize micro motions of human
hand gesture for controlling devices. It also discusses noncontact
detection of human vital sign (micro motions of breathing and heart
beating) using radar, another important application of radar
micro-Doppler sensors. Detailed MATLAB source codes for simulation
of radar backscattering from targets with various motions are
provided, along with source codes for generating micro-Doppler
signatures and analyzing characteristics of targets.
The micro-Doppler effect appears as Doppler frequency modulations
in coherent laser or microwave radar systems induced by mechanical
vibrations or rotations of a target or any part on the target.
These Doppler modulations become a distinctive signature of a
target that incorporates vibrating or rotating structures, and
provides evidence of the identity of the target with movement. This
book concentrates on the processing and application of radar
micro-Doppler signatures in real world situations, providing
readers with a working knowledge on various applications of radar
micro-Doppler signatures such as detection, tracking and
discrimination of vehicles and dismounts, identifying human
movement based on radar micro-Doppler signatures, detection and
tracking small boats in sea, detection and discrimination complex
motion of missile warheads, discrimination of quadrupedal animals,
and detection and tracking of flying birds. Topics covered include
bistatic/multistatic micro-Doppler signatures, decomposition of
micro-Doppler signatures, through-wall radar micro-Doppler
signatures and ultrasound micro-Doppler signature studies. Radar
Micro-Doppler Signatures: Processing and applications will be of
interest to R&D researchers and engineers in government
research centers, industries, and universities around the world who
work on radar imaging and signal analysis, target feature
extraction, and non-cooperative target recognition.
This text is a hands-on guide to time-frequency transforms for
radar imaging and signal analysis. It explores more efficient ways
to: extract dispersive scattering features; detect and extract weak
signals in noise; form clear radar images; estimate parameters and
perform motion compensation; detect and track moving targets in the
synthetic aperture radar; and analyze vibration and rotation
induced micro-Doppler. This resource introduces an image formation
algorithm based on time-frequency-transforms, showing its advantage
over the more conventional Fourier-based image formation.
Referenced with over 170 equations and 80 illustrations, the book
presents algorithms that help improve the result of radar imaging
and signal processing. Moreover, the authors discuss future trends
in time-frequency to analyze micro-Doppler, and provide a newly
developed time-frequency approach to radar signal and image
processing to help solve problems associated with conventional
approaches.
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