O'Reilly logo

Handbook on Array Processing and Sensor Networks by K. J. Ray Liu, Simon Haykin

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

images Introduction

Simon Haykin

Department of Electrical Engineering, McMaster University, Hamilton, Ontario, Canada

The purpose of this introductory chapter is to provide an overview of the material covered in the subsequent 28 chapters of the Handbook on Array Processing and Sensor Networks. These 28 chapters are organized in four parts, as described next. Parts I and II constitute the first pillar of this Handbook: array signal processing; Parts III and IV constitute the second pillar, sensor networks.

PART I: FUNDAMENTAL ISSUES IN ARRAY SIGNAL PROCESSING

This first part of this Handbook, embodying Chapters 1 through 5, addresses the following issues that are considered to be basic to the subject matter of the Handbook:

  1. The theory of stochastic processes is of fundamental importance in the modeling of practically all the physical systems encountered in practice. Chapter 1, Wavefields by Alfred Hanssen, generalizes the theory of stochastic processes to stochastic wavefields. At first, such a generalization may seem to be straightforward; in reality, however, it is not. The starting point of the chapter is harmonizable stochastic processes, the roots of which are traced to the pioneering works of Loève in the 1940s.
  2. Chapter 2, Spatial Spectrum Estimation, authored by Petar Djuric follows on quite nicely from Chapter 1 by viewing array signal processing as a spatial spectrum-estimation ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required