ABSTRACT
The purpose of this book is to provide the radar signal processing researcher with a comprehensive account of recent developments in sliding window noncoherent constant false alarm rate (CFAR) radar detection in a Pareto-type clutter environment. The development and analysis of such detection processes has been facilitated by the elegant nature of the Pareto distributional model. As a result of the model’s simplicity it has been possible to develop a rich mathematical framework for the study of CFAR detection schemes. Hence the focus in this book is on the mathematical methods that can be utilised to produce CFAR detection processes for target identification in Pareto distributed clutter. It is hoped that a practical engineer will find this book to be a useful guide on how to design and test in ideal situations such detection processes. In addition to this, as will become apparent to the reader, many of the theoretical developments apply not only to the Pareto distributional model but also to other radar clutter distributions of interest, such as the Weibull.
