I am doing a student project to localize the physical position of a network's nodes in outdoor environments. It will be done by RSSI values.
Background: To do this I need to get a good model of how the signal strength propagates/attenuates in the environment of choice. I have studied some theories and the most used (as I understand) is the log distance model: PL(d) = 10n*log(d/d0) + PL(d0), where d is the distance, d0 the reference distance and n is the environment path loss coefficient.
This can be expanded to take shadowing into account with a stochastic variable X ∈ N(0,σ) PL = PL(d) = 10n*log(d/d0) + PL(d0) + X
Question: I have read a lot about Rayleigh distributions but I do not see how this shall be implemented in this equation. Can someone help me to understand how it can be included?
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