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Bistatic SAR/ISAR/FSR Theory Algorithms and Program Implementation (Hardcover)
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Bistatic SAR/ISAR/FSR Theory Algorithms and Program Implementation (Hardcover)
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Bistatic radar consists of a radar system which comprises a
transmitter and receiver which are separated by a distance
comparable to the expected target distance. This book provides a
general theoretical description of such bistatic technology in the
context of synthetic aperture, inverse synthetic aperture and
forward scattering radars from the point of view of analytical
geometrical and signal formation as well as processing theory.
Signal formation and image reconstruction algorithms are developed
with the application of high informative linear frequency and phase
code modulating techniques, and numerical experiments that confirm
theoretical models are carried out. The authors suggest the program
implementation of developed algorithms. A theoretical summary of
the latest results in the field of bistatic radars is provided,
before applying an analytical geometrical description of scenarios
of bistatic synthetic aperture, inverse synthetic aperture and
forward scattering radars with cooperative and non-cooperative
transmitters. Signal models with linear frequency and phase code
modulation are developed, and special phase modulations with C/A
(coarse acquisition) and P (precision) of GPS satellite
transmitters are considered. The authors suggest Matlab
implementations of all geometrical models and signal formation and
processing algorithms. Contents 1. Bistatic Synthetic Aperture
Radar (BSAR) Survey. 2. BSAR Geometry. 3. BSAR Waveforms and Signal
Models. 4. BSAR Image Reconstruction Algorithms. 5. Analytical
Geometrical Determination of BSAR Resolution. 6. BSAR Experimental
Results. 7. BSAR Matlab Implementation. A general theoretical
description of bistatic technology within the scope of synthetic
aperture, inverse synthetic aperture and forward scattering radars
from the point of view of analytical geometrical and signal
formation and processing theory. Signal formation and image
reconstruction algorithms are developed in this title, with
application of high informative linear frequency and phase code
modulating techniques. Numerical experiments that confirm
theoretical models are carried out and the authors suggest program
implementation for the algorithms developed.
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