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Yes it does, but I'm not gonna tell you the "trick" (hint: it's not a trick, it's Physics).
I agree with Teleno .. there may also be other ways to do it however "funny" damping and frontend ccts are a winner ... alot harder ( but not impossible ) with standard damping / frontends.
The "secret" to discriminating PI won't be in any funny damping circuit or such, since a single excitation pattern won't do it all just as a single frequency won't do it for CW
Yes it does, but I'm not gonna tell you the "trick" (hint: it's not a trick, it's Physics).
Seeing actual PI discrimination in varied ground conditions and targets would give more faith besides the usual hidden software tricks or frontend overload.
The issue with PI is general difficulty in processing multiple excitation responses that CW does more elegantly, in MF or sequential sweeping like GEM series does. A detector with a powerful find mode like minelab MPS together with an identify mode with multiple halfsine periods or pulse shapes would likely fare better than a constant excitation pattern with tweaky processing.
The "secret" to discriminating PI won't be in any funny damping circuit or such, since a single excitation pattern won't do it all just as a single frequency won't do it for CW, for analysis purposes. We have seen this in the curious frontends and software tricks so far that have amounted to nothing for target ID outside of known obvious targets in known conditions.
Oscilloscope:
The pulse in yellow is the start signal of the Tx pulse.
The pulse in blue is the discrimination signal, it shifts right for Fe and left for non-Fe.
LCD screen:
Count is the number of clock pulses (16MHz Arduino) between the yellow and blue signals.
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