Waveform Design for Active Sensing Systems: A Computational Approach [Hardcover]

Ideal for researchers and practitioners looking to develop and use computational algorithms for waveform design in diverse active sensing applications.With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. It features extensive examples with clear iteration steps, and provides the MATLAB codes for many of the algorithms on the companion website.With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. It features extensive examples with clear iteration steps, and provides the MATLAB codes for many of the algorithms on the companion website.With a focus on developing computational algorithms for examining waveform design in diverse active sensing applications, this guide is ideal for researchers and practitioners in the field. The three parts conveniently correspond to the three categories of desirable waveform properties: good aperiodic correlations, good periodic correlations and beampattern matching. The book features various application examples of using the newly designed waveforms, including radar imaging, channel estimation for communications, an ultrasound system for breast cancer treatment and covert underwater communications. In addition to numerical results, the authors present theoretical analyses describing lower bounds or limitations of performance. Focusing on formulating practical problems mathematically and solving the mathematical problems using efficient and effective optimization techniques, the text pays particular attention to developing easy-to-use computational approaches. Most algorithms are accompanied by a table clearly detailing iteration steps and corresponding MATLAB codes are available on the companion website.1. Introduction; Part I. Aperiodic Correlation Synthesis: 2. SinglÃq