Introduction to Adaptive Arrays is intended to serve as an introduction to the subject of adaptive array sensor systems whose principal purpose is to enhance the detection and reception of certain desired signals.

The primary emphasis of Introduction to Adaptive Arrays is to cover the principles and techniques that are of fundamental importance in modern adaptive array systems.

Most of the contents are derived from readily available sources in the literature, although a certain amount of original material has been included.

Fundamental concepts are introduced and illustrated with examples before more current developments in adaptive array techniques are introduced.

Problems at the end of each chapter have been chosen to illustrate and extend the material presented in the text.

These extensions introduce the readers to actual adaptive array engineering problems and provide motivation for further reading of the background reference material.

In this manner both students and practicing engineers may easily gain familiarity with the modern contributions that adaptive arrays have to offer practical signal reception systems.

Contents:

1. Introduction
2. Adaptive array concept
3. Optimum array processing : steady-state performance limits and the Wiener solution
4. Gradient-based algorithms
5. The Howells-Applebaum adaptive processor
6. Direct inversion of the sample covariance matrix
7. Recursive methods for adaptive array processing
8. Cascade preprocessors
9. Random search algorithms
10. Adaptive algorithm performance summary
11. Compensation of adaptive arrays
12. Current trends in adaptive array research

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