Radar Detection: Statistical Methods presents a thorough tutorial on radar detection using mathematical statistics, offering material that remains highly relevant for today’s engineers. Originally published by Prentice-Hall in 1968 and later by Artech House in 1980, the book systematically develops radar detection theory across six parts.
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Part I introduces the radar detection problem.
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Part II reviews the essential mathematical tools.
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Part III provides tutorial expositions of classical signal-to-noise and a posteriori theories, culminating in statistical decision theory, which unifies the subsequent material.
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Part IV covers single and multiple hit detection, the radar equation, and cumulative detection probability, including strategies to minimize the power-aperture product of search radars.
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Part V explores near-optimum multiple-hit detection strategies, including binary and pulse train approaches.
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Part VI applies sequential detection theory, presenting the Marcus and Swerling test strategy, two-step approximations, and the development of Bayes decision rules and receivers for detecting multiple targets with unknown parameters (range, velocity, angle, etc.).
This book offers a complete and rigorous framework for understanding and applying radar detection theory in both practical and theoretical contexts.
