Using triangulation of sound to improve DRS and pinpoint the origin of a noise

Firstly, this post is not to prove either side of the DRS decision, there are too many assumptions, however I think we saw something that could really improve the technology quite cheaply.

Sound is recorded at a far higher resolution than visual images. 44000hz vs 24hz. When you see snicko, it is showing the volume of the sound over a single video frame, the sound recorded for 1/24th of a second. With the admission that the operator left two mics on, we saw an echo of the noise, I've coloured it in red and moved it over the first noise, so you can see this is an identical pattern, recorded about 0.021 seconds later. The noise was recorded in one mic, then the other. Usually you don't see this as only one stump mic is left on, the operator accidentally left on both.

Assuming the sound was created on the straight line between both stumps, sound travels 7m in that time. So from that we could estimate that the sound emanated from something 6.5m from one stump and 13.5m from the other. The sound had to travel 7m further from one mic to the other.

Possibly the batsman or bowler. We don't really know without knowing which stump mic picked up the noise first, and I don't know the delays in the audio recording to be able to say how accurate those distances are.

However simply adding a 3rd mic, around square leg, and accounting for all the delays, which could easily be done, you could triangulate the noise and accurately pinpoint the location the sound came from. Same way GPS works, and same way that they pinpoint earthquakes.

I think this would be an incredibly useful addition to DRS. You could potentially even narrow down if a sound came from a ball or a clicky handle.