Quote:
Originally Posted by FrankM
... but the big problem is having a real-time system that links the detectors. The real-time system is the major achievement of the seismographic system. Traditional seismographs are dealing with an actual earth movement and there are substantial propagation delays which are readily handled by that real-time system.
There are a lot of other factors involved in detecting disruptions in radio propagation. Depending upon an APMs location, its primary signal sense may be swamped by local emissions and have little change caused by propagated signals. There will be major differences in radio propagation depending upon day and night. Solar glitches will effect sensors in some areas and not in others. Various types of radio transmission devices are gong on and off all the time and they will caused unexpected rise and falls in an APMs output. How do you normalize a particular locations APM output?
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So like all good ideas, there is some work involved in my scheme. So it goes.
In the vernacular of the day, I suggest just doing it. Make 3 identical APM's per the instructions I linked and deploy them 10's of miles apart and start recording. Whatever you record in the first month is your first normalization (or whatever arbitrary time measure you want, i.e. daily, weekly, & so on.) You then compare recordings for commonalities and further screen those for identifiable RF sources.
Besides the earthquake precursor signals, you have a unique data set for all the sources you mention as well. Bonus.
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