Waveform Design for Active Sensing Systems

A Computational Approach

Nonfiction, Science & Nature, Technology, Electronics, Engineering
Cover of the book Waveform Design for Active Sensing Systems by Hao He, Petre Stoica, Professor Jian Li, Cambridge University Press
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Author: Hao He, Petre Stoica, Professor Jian Li ISBN: 9781107239593
Publisher: Cambridge University Press Publication: July 12, 2012
Imprint: Cambridge University Press Language: English
Author: Hao He, Petre Stoica, Professor Jian Li
ISBN: 9781107239593
Publisher: Cambridge University Press
Publication: July 12, 2012
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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