ipfProximity

a matrix or a data frame containing the position of the beacons,
in the same order as they appear in fingerprints

bpos

rssirange

value used to represent a not detected AP

norssi

alpha

wapPow1

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

Algorithms and utility functions for indoor positioning using fingerprinting techniques.
These functions are designed for manipulation of RSSI (Received Signal Strength Intensity) data
sets, estimation of positions,comparison of the performance of different models, and graphical
visualization of data. Machine learning algorithms and methods such as k-nearest neighbors or
probabilistic fingerprinting are implemented in this package to perform analysis
and estimations over RSSI data sets.

Emilio Sansano

ipft

Indoor Positioning Fingerprinting Toolset

Raúl Montoliu

ipfProximity function

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

Arguments

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

<dl>

<dt>bpos</dt>
<dd>a matrix or a data frame containing the position of the beacons,
in the same order as they appear in fingerprints</dd>


<dt>rssirange</dt>
<dd>range of the RSSI data</dd>


<dt>norssi</dt>
<dd>value used to represent a not detected AP</dd>


<dt>alpha</dt>
<dd>path loss exponent</dd>


<dt>wapPow1</dt>
<dd>detected RSSI at one meter range</dd>

</dl>

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

Description

Usage

Value

Arguments

Examples