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COMPRESSIVE SENSING FOR OVER-THE-AIR ULTRASOUND

Full Paper at IEEE Xplore

Compressed Sensing and Sparse Representation of Signals

Presented by: Petros Boufounos, Author(s): Petros Boufounos, Mitsubishi Electric Research Laboratories, United States

The advent of Compressive Sensing has provided significant mathematical tools to enhance the sensing capabilities of hardware devices. In this paper we apply Compressive Sensing to improve over-the-air ultrasonic sensing capabilities. We demonstrate that using an appropriate scene model it is possible to pose three-dimensional surface reconstruction of a scene as a sparse recovery problem. Using incoherent wideband ultrasound pulses it is thus possible to sense and reconstruct the scene using standard CS reconstruction algorithms. We further demonstrate that it possible to construct virtual arrays that exploit the sensors' motion. Thus we can obtain three-dimensional scene reconstruction using a linear mobile array.

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  Lecture Information

Recorded: 2011-05-27 14:05 - 14:25, Club B
Added: 15. 6. 2011 06:56
Number of views: 376
Video resolution: 1024x576 px, 512x288 px
Video length: 0:19:20
Audio track: MP3 [6.53 MB], 0:19:20