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Recently, various algorithms for radar signal detection that rely
heavily upon complicated processing and/or antenna architectures
have been the subject of much interest. These techniques owe their
genesis to several factors. One is revolutionary technological
advances in high-speed signal processing hardware and digital array
radar technology. Another is the stress on requirements often
imposed by defence applications in areas such as airborne early
warning and homeland security. This book explores these emerging
research thrusts in radar detection with advanced radar systems
capable of operating in challenging scenarios with a plurality of
interference sources, both man-made and natural. Topics covered
include: adaptive radar detection in Gaussian interference with
unknown spectral properties; invariance theory as an instrument to
force the Constant False Alarm Rate (CFAR) property at the design
stage; one- and two-stage detectors and their performances;
operating scenarios where a small number of training data for
spectral estimation is available; Bayesian radar detection to
account for prior information in the interference covariance
matrix; and radar detection in the presence of non-Gaussian
interference. Detector design techniques based on a variety of
criteria are thoroughly presented and CFAR issues are discussed.
Performance analyses representative of practical airborne, as well
as ground-based and shipborne, radar situations are shown. Results
on real radar data are also discussed. Modern Radar Detection
Theory provides a comprehensive reference on the latest
developments in adaptive radar detection for researchers, advanced
students and engineers working on statistical signal processing and
its applications to radar systems.
Polarimetric Radar Signal Processing provides an overview of
advanced techniques and technologies developed for polarimetric
radars to meet challenging performance requirements. It aims to
cover some of the most challenging application fields, including:
target detection for active and passive surveillance systems,
interference suppression, detection of temporal changes in a given
scene, environment classification, automatic target recognition,
non-cooperative target imaging, polarimetric coding in radar and
SAR systems, pol-SAR ambiguities suppression, space-debris
detection, tracking, and classification, estimation of biological
and behavioural parameters of insects, precipitations localization
as well as type and motion parameters estimation via real-life
practical polarimetric weather radar. The book balances a practical
point of view with a rigorous mathematical approach corroborated
with a wealth of numerical case studies and real experiments.
Additionally, the book has a cross-disciplinary approach as it aims
to exploit cross-fertilization by the recent and latest research
and discoveries in statistical signal processing theory and
electromagnetism. Each chapter is self-contained and is written by
renowned researchers in polarimetric radar signal processing. The
emphasis of the book is on both theoretical results and practical
applications that clearly show the potential benefits in radar
performance using polarimetric diversity in different application
domains. Cross referencing and a common notation have been realized
so that the related material as well as equations can be easily
connected. This significantly enhances the book's value as a
reference. This book is addressed to systems engineers and their
managers in civilian as well as defence companies; technical staff
in procurement agencies and their technical advisers; students at
MSc and PhD levels in signal processing, electrical engineering,
systems and defence engineering; and any persons interested in
applications of polarimetry theory to radar engineering.
This book provides an overview of radar waveform synthesis obtained
as the result of computational optimization processes and covers
the most challenging application fields. The book balances a
practical point of view with a rigorous mathematical approach
corroborated with a wealth of numerical study cases and some real
experiments. Additionally, the book has a cross-disciplinary
approach because it exploits cross-fertilization with the recent
research and discoveries in optimization theory. The material of
the book is organized into ten chapters, each one completed with a
comprehensive list of references. The following topics are covered:
recent advances of binary sequence designs and their applications;
quadratic optimization for unimodular sequence synthesis and
applications; a computational design of phase-only (possibly
binary) sequences for radar systems; constrained radar code design
for spectrally congested environments via quadratic optimization;
robust transmit code and receive filter design for extended targets
detection in clutter; optimizing radar transceiver for Doppler
processing via non-convex programming; radar waveform design via
the majorization-minimization framework; Lagrange programming
neural network for radar waveform design; cognitive local ambiguity
function shaping with spectral coexistence and experiments; and
relative entropy based waveform design for MIMO radar. Targeted at
an audience of radar engineers and researchers, this book provides
thorough and up-to-date coverage of optimisation theory for radar
waveform design.
The phrase 'waveform design and diversity' refers to an area of
radar research that focuses on novel transmission strategies as a
way to improve performance in a variety of civil, defense and
homeland security applications. Three basic principles are at the
core of waveform diversity. First is the principle that any and all
knowledge of the operational environment should be exploited in
system design and operation. Second is the principle of the fully
adaptive system, that is, that the system should respond to dynamic
environmental conditions. Third is the principle of measurement
diversity as a way to increase system robustness and expand the
design trade space. Waveform design and diversity concepts can be
found dating back to the mid-twentieth century. However, it has
only been in the past decade or so, as academics and practitioners
have rushed to exploit recent advances in radar hardware component
technology, such as arbitrary waveform generation and linear power
amplification, that waveform diversity has become a distinct area
of research. The purpose of this book is to survey this burgeoning
field in a way that brings together the diverse yet complementary
topics that comprise it. The topics covered range from the purely
theoretical to the applied, and the treatment of these topics
ranges from tutorial explanation to forward-looking research
discussions. The topics treated in this book include: classical
waveform design and its extensions through information theory,
multiple-input multiple-output systems, and the bio-inspired
sensing perspective; the exploration of measurement diversity
through distributed radar systems, in both cooperative and
non-cooperative configurations; the optimal adaptation of the
transmit waveform for target detection, tracking, and
identification; and more. This representative cross-section of
topics provides the reader with a chance to see the three
principles of waveform diversity at work, and will hopefully point
the way to further advances in this exciting area of research.
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