This book presents a comprehensive tutorial exposition of radar
detection using the methods and techniques of mathematical statistics.
The material presented is as current and useful to today's engineers as
when the book was first published by Prentice-Hall in 1968 and then
republished by Artech House in 1980. The book is divided into six parts.
Part I is introductory and describes the nature of the radar detection
problem. Part II reviews the mathematical tools necessary for a study of
detection theory. Part III contains tutorial expositions in a radar
context of the classical signal-to-noise and a posteriori theories, both
of which have played important roles in the evolution of modern radar.
The unifying theme of the book is provided by statistical decision
theory, introduced in the last chapter of Part III, which provides the
framework for the chapters that follow. The first three chapters of Part
IV contain a unified tutorial exposition of single and multiple hit
detection theory. The last two chapters are respectively devoted to the
use of the radar equation and a discussion of cumulative detection
probability. The latter includes a procedure for minimizing the
power-aperture product of a search radar. The performance of
near-optimum multiple hit detection strategies are considered in Part V.
These include binary and pulse train detection strategies. The first
chapter in Part VI applies sequential detection theory to the radar
detection problem. It includes the Marcus and Swerling test strategy and
a two-step approximation to sequential detection. The second chapter
contains the development of Bayes decision rules and Bayes receivers for
optimizing the detection of multiple targets with unknown parameters,
such as range, velocity, angle, etc.
