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Proposal of Ultra-Short-Pulse Acoustic Imaging Using Complex-Valued Spatio-temporal Neural-Network Null-Steering

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Neural Information Processing (ICONIP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8228))

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Abstract

We propose complex-valued spatio-temporal neural-network null- steering for wideband acoustic imaging with ultra-short pulses. We combine a complex-valued neural network (CVNN) and power-inversion adaptive array (PIAA) scheme to realize a practical-resolution imaging in the azimuth direction (direction perpendicular to the range direction) even with a small-aperture array. Simulations suggest that the proposed method presents a higher resolution than conventional methods such as Capon’s method as well as a real-valued neural-network PIAA method.

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Terabayashi, K., Hirose, A. (2013). Proposal of Ultra-Short-Pulse Acoustic Imaging Using Complex-Valued Spatio-temporal Neural-Network Null-Steering. In: Lee, M., Hirose, A., Hou, ZG., Kil, R.M. (eds) Neural Information Processing. ICONIP 2013. Lecture Notes in Computer Science, vol 8228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42051-1_28

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  • DOI: https://doi.org/10.1007/978-3-642-42051-1_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-42050-4

  • Online ISBN: 978-3-642-42051-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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