This second edition is an extensive modernization of the bestselling introduction to the subject of adaptive array sensor systems. With the number of applications of adaptive array sensor systems growing each year, this look at the principles and fundamental techniques that are critical to these systems is more important than ever before.

Introduction to Adaptive Arrays, 2nd Edition is organized as a tutorial, taking the reader by the hand and leading them through the maze of jargon that often surrounds this highly technical subject. It is easy to read and easy to follow as fundamental concepts are introduced with examples before more current developments and techniques are introduced.

Problems at the end of each chapter serve both instructors and professional readers by illustrating and extending the material presented in the text. Both students and practicing engineers will easily gain familiarity with the modern contribution that adaptive arrays have to offer practical signal reception systems.

AUDIENCE
Design and systems engineers involved in radar, sonar, communications, seismology, and radio astronomy.

PART I. ADAPTIVE ARRAY FUNDAMENTAL PRINCIPLES: SYSTEM USES, SYSTEM ELEMENTS, BASIC CONCEPTS, AND OPTIMUM ARRAY PROCESSING
Chapter 1 Introduction
Chapter 2 Adaptive Array Concept
Chapter 3 Optimum Array Processing

PART II. ADAPTIVE ALGORITHMS
Chapter 4 Gradient-Based Algorithms
Chapter 5 Direct Inversion of the Sample Covariance Matrix
Chapter 6 Recursive Methods for Adaptive Array Processing
Chapter 7 Cascade Preprocessors
Chapter 8 Random Search Algorithms
Chapter 9 Adaptive Algorithm Performance Summary

PART III. ADAPTIVE ARRAY CALIBRATION AND COMPENSATION
Chapter 10 Compensation of Adaptive Arrays
Chapter 11 Direction of Arrival Estimation and Related Topics
Chapter 12: Recent Developments in Adaptive Arrays

Appendix A. Frequency Response Characteristics of Tapped-Delay Lines
Appendix B. Complex Envelope Notation
Appendix C. Convenient Formulas for Gradient Operations
Appendix D. Useful Matrix Relations and the Schwartz Inequality
Appendix E. Multivariate Gaussian Distributions
Appendix F. Geometric Aspects of Complex Vector Relationships
Appendix G. Eigenvalues and Eigenvectors

Robert Monzingo received the B.S.E.E. degree from Stanford University, the M.S.E.E. degree from the University of Arizona, and the Sc.D. degree from Washington University, St. Louis. He has been active in the areas of automatic control, radar, and communications for many years and is presently associated with the Aerospace Corporation in El Segundo, CA as a Senior Engineering Specialist where he is engaged in work on adaptive arrays, GPS systems, and satellite communication systems.

Randy Haupt is a Fellow of the IEEE and Applied Computational Electromagnetics Society (ACES) and is a Senior Scientist at the Penn State Applied Research Lab. From 1999-2003 he was Professor and Department Head of ECE at Utah State University. He also was a Professor of EE at the Air Force Academy and the University of Nevada-Reno. He is a retired Lt. Col. from the US Air Force. He has many journal articles, conference publications, and book chapters to his credit and is the author of Antenna Arrays: A Computational Approach by Wiley (2010).

Thomas Miller currently works for Raytheon Corporation where he has been cited for leadership in advanced early warning surveillance radar and adaptive signal processing. He is the author and coauthor of multiple journal articles as well as contributor to several books.