Wave-packet decomposition for acoustic target recognition

Nai Chyuan Yen; Louis R. Dragonette

doi:10.1117/12.277129

23 June 1997 Wave-packet decomposition for acoustic target recognition

Nai Chyuan Yen, Louis R. Dragonette

Proceedings Volume 3069, Automatic Target Recognition VII; (1997) https://doi.org/10.1117/12.277129
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

The acoustic response scattered by an object depends on its physical shape and structure and on its elastic properties. This paper addresses the exploitation of the information contained in the scattered waves and with the aim of providing a broader view of waveform analysis as applied to target detection and classification applications. The approach for this target recognition methodology is to reduce the multi- feature appearance obtained from time frequency analysis of the received sensor signals into wave packets associated with the important scattering mechanisms. This decomposition method has a wide range of signal processing applications, the particular application considered here is sonar systems. In the case of a sonar target, mechanisms such as specular reflections, creeping waves, chalice waves, Bragg waves and Bloch waves from different parts of target or scattering centers can be incorporated into the target characterization. By applying pattern recognition logic, the present study can serve as a useful background for new sonar system development with advanced processing techniques and state-of-the-art computer hardware. Examples from simulation and laboratory measurements are used to test the robust nature of the target's structural responses and scattering center distributions and to assess the capability of this target recognition scheme.

Citation Download Citation

Nai Chyuan Yen and Louis R. Dragonette "Wave-packet decomposition for acoustic target recognition", Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); https://doi.org/10.1117/12.277129

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