> I would agree that doing by hand is impossible, since you
would need to
> update your weights on a millisecond by millisecond basis.
>
> But these days, you CAN do the automatic tracking of
random signals (albeit
> with a fair amount of real time computation). Algorithms
like MUSIC or
> ESPRIT do just this, and, if you can tolerate some short
delay, can even
> use what is coming in "now" to process what came in a
short time ago.
How does the software know it is a desired signal and not
noise or QRM when it is a unknown and unexpected signal on a
random frequency?
How does it distinguish the signal when the signal is below
noise floor? (My ears can distinguish signals that are below
noise floor.)
There are many techniques that would work with long time
exposure to signals. I never could find anything that would
work for a case like random DX. I'd be somewhat interested,
since I could combine my antennas into a very large array
that would work substantially in real-time.
73 Tom
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