Introduction to Adaptive Arrays

Description

About the Book: Introduction to Adaptive Arrays: 2ndEdition This second edition is an extensive modernization ofthebestselling introduction to the subject of adaptive arraysensorsystems. With the number of applications of adaptive arraysensorsystems growing each year, this look at the principlesandfundamental techniques that are critical to these systems ismoreimportant than ever before. Introduction to Adaptive Arrays is organized as atutorial,taking the reader by the hand and leading them through themaze ofjargon that often surrounds this highly technical subject.It iseasy to read and easy to follow as fundamental conceptsareintroduced with examples before more current developmentsandtechniques are introduced. Problems at the end of each chapter serve both instructorsandprofessional readers by illustrating and extending thematerialpresented in the text. Both students and practicingengineers willeasily gain familiarity with the modern contributionthat adaptivearrays have to offer practical signal receptionsystems. Contents Part I. Adaptive Array Fundamental Principles: SystemUses,System Elements, Basic Concepts, and Optimum ArrayProcessing 1. Introduction 2. Adaptive Array Concept 3. Optimum Array Processing Part II. Adaptive Algorithms 4. Gradient-Based Algorithms 5. Direct Inversion of the Sample Covariance Matrix 6. Recursive Methods for Adaptive Array Processing 7. Cascade Preprocessors 8. Random Search Algorithms 9. Adaptive Algorithm Performance Summary Part III. Advanced Topics 10. Compensation of Adaptive Arrays 11. Direction of Arrival Estimation and Related Topics 12. Recent Developments in Adaptive Arrays Appendix A. Frequency Response Characteristics ofTapped-DelayLines Appendix B. Complex Envelope Notation Appendix C. Convenient Formulas for Gradient Operations Appendix D. Useful Matrix Relations and theSchwartzInequality Appendix E. Multivariate Gaussian Distributions Appendix F. Geometric Aspects of Complex VectorRelationships Appendix G. Eigenvalue