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.