An Exploration of Key Issues Integral to the Design of Adaptive
Radar Systems
This collaborative work presents the results of over twenty
years of pioneering research by Professor Simon Haykin and his
colleagues, dealing with the use of adaptive radar signal
processing to account for the nonstationary nature of the
environment. These results, described by the researchers
themselves, have profound implications for defense-related signal
processing and remote sensing.
The book is divided into two parts: Part I discusses radar
spectral analysis, with emphasis on spectrum estimation of the
received signal. Following an introductory chapter, Chapter 2
addresses the low-angle tracking radar problem. Focusing on the
target's angle of arrival in the presence of multipath, the authors
set forth a spectrum estimation procedure known as the multi-taper,
or multiple-window, method. This method accounts for the specular
as well as diffuse kinds of multipath, which are integral parts of
a physical low-angle tracking radar environment. Chapter 3 builds
on the multi-taper method by estimating the power spectrum of the
received signal as a function of both time and frequency with
emphasis on sea clutter. Part II examines dynamic models of radar
returns produced in a marine environment. Chapters 4 and 5 study
different approaches to modeling the underlying dynamics
responsible for the generation of sea clutter. Chapter 6 completes
the discussion by formulating a Bayesian framework for the
detection-through-tracking of a target in the presence of sea
clutter.
References are provided in each chapter guiding the reader to
the original research on which this book is based. This is a
must-read forall engineers involved with radar systems--even
senior-level engineers will find much new and thought-provoking
material.
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