Waveform Design for Active Sensing Systems
A Computational Approach

Ideal for researchers and practitioners looking to develop and use computational algorithms for waveform design in diverse active sensing applications.

Hao He (Author), Jian Li (Author), Petre Stoica (Author)

9781107019690, Cambridge University Press

Hardback, published 12 July 2012

326 pages, 127 b/w illus. 31 tables
25.3 x 17.7 x 1.8 cm, 0.79 kg

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. 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.

Subject Areas: Television technology [TJKV], Telephone technology [TJKT], Satellite communication [TJKS], Communications engineering / telecommunications [TJK], Electronics & communications engineering [TJ]