Waveform Design for Active Sensing Systems : A Computational Approach
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.
- Electronic book text
- 26 Jul 2012
- CAMBRIDGE UNIVERSITY PRESS
- Cambridge University Press (Virtual Publishing)
- Cambridge, United Kingdom
- 127 b/w illus. 31 tables
Table of contents
1. Introduction; Part I. Aperiodic Correlation Synthesis: 2. Single aperiodic sequence design; 3. Aperiodic sequence set design; 4. Lower bounds for aperiodic sequences; 5. Stopband constraint case; 6. Ambiguity function (AF); 7. Cross ambiguity function (CAF); 8. Joint design of transmit sequence and receive filter; Part II. Periodic Correlation Synthesis: 9. Single periodic sequence design; 10. Periodic sequence set design; 11. Lower bounds for periodic sequences; 12. Periodic ambiguity function (PAF); Part III. Transmit Beampattern Synthesis: 13. Narrowband beampattern to covariance matrix; 14. Covariance matrix to waveform; 15. Wideband transmit beampattern synthesis; Part IV. Diverse Application Examples: 16. Radar range and range-Doppler imaging; 17. Ultrasound system for hyperthermia treatment of breast cancer; 18. Covert underwater acoustic communications - coherent scheme; 19. Covert underwater acoustic communications - noncoherent scheme.
About He Hao
Hao He received his PhD from the Department of Electrical and Computer Engineering at the University of Florida, USA, in 2011. His student papers won awards at the IEEE 13th DSP Workshop and 5th SPE Workshop in 2009 and at the 2nd International Workshop on Cognitive Information Processing in 2010. Jian Li is a professor at the Department of Electrical and Computer Engineering, University of Florida, USA, and a Fellow of IEEE and IET. She has published three books, four book chapters and some 400 papers in archival journals and conference records. She is a co-author of the paper that received the M. Barry Carlton Award for the best paper published in IEEE Transactions on Aerospace and Electronic Systems in 2005. Petre Stoica is a professor at the Department of Information Technology at Uppsala University, Sweden, a member of the Royal Swedish Academy of Engineering Sciences and the European Academy of Sciences, an honorary member of the Romanian Academy and a Fellow of the Royal Statistical Society, IEEE and EURASIP. He has published 10 books, 15 book chapters and some 700 papers in archival journals and conference records and has won several awards of IEEE, IEE and EURASIP.