High-resolution methods in underwater acoustics (Q1202100)

[The articles of this volume will not be indexed individually.] This book is based upon material presented at the GRETSI Conference in Juan-les-Pins in July 1989. Its aim is to make a synthesis of results related to the use of high-resolution methods in underwater acoustics for use by researchers and those professionally involved in the subject. The material is arranged in six chapters written by collaborating authors. The first presents the basic ideas upon which the high- resolution methods are based. It is an overview of their principles and their properties. It discusses their performances bounds and other important topics such as the estimation of the number of sources and the extension to wideband signals. The second chapter `Practical use of parametric methods for array processing', gives a way to overcome the usual white noise hypothesis, or, more generally, a noise model misadjustment. The techniques presented are twofold: first, estimate the noise model, adaptively and, second, use more fundamentally the plane wave hypothesis. Chapter 3, `Localization of broadband sources with an array of unknown geometry', solves the difficult problem of using an array of unknown geometry in order to estimate the direction of arrival of broadband sources. Under the usual hypothesis, three sources are enough to estimate, in the two-dimensional case, sensor locations and the source bearings, at the same time. Chapter 4 covers `High-resolution processing techniques for temporal and spatial signals'. It presents the Wigner-Ville distribution whose idea is different from the bearing estimation methods presented in the other chapters but whose results are similar. Chapter 5, `Performance limits of high-resolution systems', addresses the problem of sensitivity of high-resolution direction finding methods to uncertainties on several factors such as array geometry or propagation conditions. The final chapter describes a method able to deal with interference using a rapidly adaptive algorithm. It contains theoretical performance computations as well as simulation results and real data analysis. The book is well edited and easy to read.