Electronics and Instrumentation, Second Edition, Volume 3: Probability and Information Theory with Applications to Radar provides information pertinent to the development on research carried out in electronics and applied physics. This book presents the established mathematical techniques that provide the code in which so much of the mathematical theory of electronics and radar is expressed. Organized into eight chapters, this edition begins with an overview of the geometry of probability distributions in which moments play a significant role. This text then examines the mathematical methods in electronics, which rest to an extraordinary degree upon the methods of time-and-frequency analysis. Other chapters consider the exponential dependence of the number of states on the number of units that immediately suggests a logarithmic measure of capacity. This book discusses as well the threshold of intelligibility that depends on the bandwidth of the transmitted signal. The final chapter deals with the simple applications of direct probabilities to radar theory. This book is a valuable resource for radar engineers.

The Second Edition is an updated revision to the authors highly successful and widely used introduction to the principles and application of the statistical theory of signal detection. This book emphasizes those theories that have been found to be particularly useful in practice including principles applied to detection problems encountered in digital communications, radar, and sonar. - Detection processing based upon the fast Fourier transform

Airspace surveillance is one of the classic applications of radar technology. Existing systems are focused on large-scale surveillance of commercial airspace. This research presents a prototype of a small, mobile, passive radar system that for example can be used to monitor aircraft and UAVs in the airspace over maritime borders. The system is based on a coherent, software defined receiving system for data acquisition. The signal processing is subsequently performed in the digital domain. The paper gives an introduction to all the required fundamentals and all the relevant steps of signal processing are shown, starting from digital beamforming, through the generation of the range Doppler matrices, all the way to the tracking of targets using Kalman filters. Furthermore, a novel system for the detection of transmitter locations is presented, which allows the use of such a system in previously unknown scenarios. Finally, measurements are presented to show what such a system can achieve under real world conditions.

Signal processing arises in the design of such diverse systems as communications, sonar, radar, electrooptical, navigation, electronic warfare and medical imaging systems. It is also used in many physical sciences, such as geophysics, acoustics, and meteorology, among many others. The common theme is to extract and estimate the desired signals, which are mixed with a variety of noise sources and disturbances. Signal processing involves system analysis, random processes, statistical inferences, and software and hardware implementation. The purpose of this book is to provide an elementary, informal introduction, as well as a comprehensive account of principles of random signal processing, with emphasis on the computational aspects. This book covers linear system analysis, probability theory, random signals, spectral analysis, estimation, filtering, and detection theory. It can be used as a text for a course in signal processing by under graduates and beginning graduate students in engineering and science and also by engineers and scientists engaged in signal analysis, filtering, and detection. Part of the book has been used by the author while teaching at the State University of New York at Buffalo and California State University at Long Beach. An attempt has been made to make the book self-contained and straight forward, with the hope that readers with varied backgrounds can appreciate and apply principles of signal processing. Chapter 1 provides a brief review of linear analysis of deterministic signals.

Exploring the interrelation between information theory and signal processing theory, the book contains a new algebraic approach to signal processing theory. Readers will learn this new approach to constructing the unified mathematical fundamentals of both information theory and signal processing theory in addition to new methods of evaluating quality indices of signal processing. The book discusses the methodology of synthesis and analysis of signal processing algorithms providing qualitative increase of signal processing efficiency under parametric and nonparametric prior uncertainty conditions. Examples are included throughout the book to further emphasize new material.