norm_dBloss: Signal strength model functions

In MobilePhoneESSnetBigData/mobloc: Mobile phone location algorithms and tools

Signal strength model functions

Description

Signal strength model functions. norm_dBloss approximates the dB loss at a certain direction using normal distributions. distance2dB approximates the signal strength in dB as a function of distance, given the power of the cell and the path loss exponent. db2s transforms dBm to signal dominance (s) using a sigmoid function.

Usage

norm_dBloss(a, db_back = -30, sd = 90, beam_width = NULL)

distance2dB(r, ple, W)

db2s(dBm, midpoint, steepness)

Arguments

a	angle of direction (in degrees)
db_back	difference in signal strength between front and back (in dB)
sd	standard deviation of the normal distribution that is used to model the radiation pattern, such that at 180 degrees, the dB loss is db_back and at beam_width degrees the dB loss is 3dB.
beam_width	beam width
r	distance
ple	path loss exponent
W	watt
dBm	dBm to convert
midpoint	which dBm value corresponds to the mid point of the distribution (0.5)
steepness	steepness of the fitted curve

MobilePhoneESSnetBigData/mobloc documentation built on Feb. 18, 2024, 3:41 a.m.