ipfProximity: Estimates the position of the observations from its...

In ipft: Indoor Positioning Fingerprinting Toolset

Description

Estimates the position of the observations from its fingerprints and the access point location usins a logarithmic path loss model

Usage

ipfProximity(bpos, rssirange = c(-100, 0), norssi = NA, alpha = 5,
  wapPow1 = -30)

Arguments

bpos	a matrix or a data frame containing the position of the beacons, in the same order as they appear in fingerprints
rssirange	range of the RSSI data
norssi	value used to represent a not detected AP
alpha	path loss exponent
wapPow1	detected RSSI at one meter range

Value

An S3 object of class ipfEstimation, with the following properties: location -> a matrix with the predicted locations errors -> a numeric vector with the errors, if loctest has been provided neighbors -> NULL weights -> NULL

Examples

    ipfEst <- ipfProximity(ipftrain[1:10, 1:168], ipfpwap, ipftrain[1:10, 169:170], alpha = 4)

ipft documentation built on May 2, 2019, 7:23 a.m.