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We did think of mufflers, but we didn't have them as we were using a dataset collected by another researcher, who used the same system in a quiet environment, t
by lowpro 9y ago
We did think of mufflers, but we didn't have them as we were using a dataset collected by another researcher, who used the same system in a quiet environment, then in a windy 'real world' environment. We used this data for training, testing and validation, but didn't have the equipment or time to make a new dataset :(
But this is probably the most practical solution, the data we have doesn't allow for it however. This could be used in the real world and the system could be more accurate, however in a crowded environment there will be other sounds the microphone will pick up, so some type of noise filter would be needed anyway.
- junkcollector 9y agoFrom a purely signal point of view, if you have a good characterization of the drone sound (your training set) and of the noise, then the appropriate filter would be something along the lines of a weiner type which statistically maximizes the SNR. Preventing your microphone from saturating when measuring the wind is very important as well, and a good use of a wind blocker or muffler. If your microphone saturates its input that will distort the spectrum of the signal you are measuring.