Title:
Use of Sonification of Radar Data for Noise Control

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van den Doel, Kees
Robinson, Michael
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Abstract
Deep sounding radar surveys for geophysical exploration requires the detection of faint reflections from deep subsurface structures. Signal to noise enhancement through extensive data stacking is effective provided the data noise is incoherent and time-invariant. We describe the use of sonification of radar data for quality control of peripheral equipment, specifically to detect unwanted noise with a temporal pattern. The sonification process consists of filtering and timescaling radio frequency data and interpreting the result as audio, a process usually referred to as auralization. A small user study was performed to quantify variations in individual performance in detecting these.
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2017-06
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.