Introduction to Adaptive Arrays

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.

• Part I: Adaptive Array Fundamental Principles: System Uses, System Elements, Basic Concepts, and Optimum Array ProcessingChapter 1: IntroductionChapter 2: Adaptive Array ConceptChapter 3: Optimum Array ProcessingPart II: Adaptive AlgorithmsChapter 4: Gradient-Based AlgorithmsChapter 5: Direct Inversion of the Sample Covariance MatrixChapter 6: Recursive Methods for Adaptive Array ProcessingChapter 7: Cascade PreprocessorsChapter 8: Random Search AlgorithmsChapter 9: Adaptive Algorithm Performance SummaryPart III: Advanced TopicsChapter 10: Compensation of Adaptive ArraysChapter 11: Direction of Arrival Estimation and Related TopicsChapter 12: Recent Developments in Adaptive ArraysAppendices