by Robert A. Monzingo, Randy L. Haupt and Thomas W. Miller
The Institution of Engineering and Technology, 2011 Cloth: 978-1-891121-57-9 | eISBN: 978-1-61353-113-6 Library of Congress Classification TK7871.6.M66 2011 Dewey Decimal Classification 621.3824
ABOUT THIS BOOK | TOC
ABOUT THIS BOOK
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.
TABLE OF CONTENTS
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: Advanced Topics
Chapter 10: Compensation of Adaptive Arrays
Chapter 11: Direction of Arrival Estimation and Related Topics
Chapter 12: Recent Developments in Adaptive Arrays