Time-frequency methods in radar, sonar, and acoustics

Marple, S. L., Barbarossa, S., Ferguson, B. G., Lo, K. W., Frazer, G. J., Boashash, B., Chandran, V., Gholami, A. and Ouelha, S. (2016). Time-frequency methods in radar, sonar, and acoustics. In Boualem Boashash (Ed.), Time-frequency signal analysis and processing: a comprehensive reference Second edition ed. (pp. 793-856) Amsterdam, Netherlands: Academic Press. doi:10.1016/B978-0-12-398499-9.00014-5


Author Marple, S. L.
Barbarossa, S.
Ferguson, B. G.
Lo, K. W.
Frazer, G. J.
Boashash, B.
Chandran, V.
Gholami, A.
Ouelha, S.
Title of chapter Time-frequency methods in radar, sonar, and acoustics
Title of book Time-frequency signal analysis and processing: a comprehensive reference
Place of Publication Amsterdam, Netherlands
Publisher Academic Press
Publication Year 2016
Sub-type Research book chapter (original research)
DOI 10.1016/B978-0-12-398499-9.00014-5
Open Access Status Not yet assessed
Series EURASIP and Academic Press series in signal and image processing
Edition Second edition
ISBN 9780123984999
Editor Boualem Boashash
Chapter number 14
Start page 793
End page 856
Total pages 64
Total chapters 18
Collection year 2017
Language eng
Formatted Abstract/Summary
The fields of radar and sonar are traditionally key application areas and testing grounds for advances in signal processing. Time-frequency (t, f) methodologies have made significant inroads in these fields; their usefulness is demonstrated in seven sections with appropriate internal cross-referencing to this and other chapters. This chapter begins by considering a baseband Doppler radar return from a helicopter target as an example of a persistent nonstationary signal. A linear (t, f) representation provides a high resolution suitable for preserving the full dynamic range of such complicated signals (Section 14.1). It is then shown that the synthetic aperture principle allows the combination of range resolution, achieved by the use of linear FM signals, with cross range. For long observation intervals, the phase cannot be assumed to be a linear function of time; then (t, f) based imaging can obtain improvements in focus of the synthetic-aperture image (Section 14.2). In another illustration, it is shown that when a propeller-driven aircraft or a helicopter passes overhead, it produces a Doppler effect which allows the estimation of flight parameters by using IF estimation and the (t, f) interference patterns formed in TFDs (Section 14.3). An example is then presented which shows that to track a theater ballistic missiles launch, the WVD can be used effectively. Its peak provides a direct estimate of the instantaneous Doppler law giving the accelerating target dynamics (Section 14.4). It is then shown that in sonar, there is a clear rationale for using (t, f) processing of returns to provide useful information about targets such as ships (Section 14.5). The last two sections focus on the application of sparse (t, f) distributions to geophysics acoustics (Section 14.6) and a brief tutorial review of (t, f) audio processing for speech and underwater acoustics applications, indicating that high resolution TFDs can result in much improved performance (Section 14.7).
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status UQ

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