What your describing sounds alot like GeoCaching.

An already-established sport which I have participated in.
Finally, most if not all of the participants in this sport
also seem to be a younger and/or a college educated
clientele.

More about it at the link(s) below:

http://www.geocaching.com/

http://www.mdgps.net/

http://gpsinformation.net/

"Scott in Aztlan" wrote in message
...
Suppose you were participating in a search for a hidden radio
transmitter, only
instead of the usual radio receiver with a directional antenna you have a
receiver with an omnidirectional antenna and a GPS receiver. As you
wander
around, you collect positions from the GPS and signal strength values at
those
positions from the radio; your goal is to crunch these data points into
an
estimate of the transmitter's location.

Clearly you could use trilateration with any 3 of the data points and get
an
estimate, but how would you make use of the fact that you have an
arbitrary
number of data points? Isn't there some algorithm which, the more data
points it
is given, the better its estimate gets (similar to the way you can
average a
series of position readings taken from a stationary GPS receiver to
compensate
for the effects of SA)?

Can someone point me in the right direction?

Thanks!

--
Friends don't let friends shop at Best Buy.