Localization

Localization

Introduction

Localization package provides tools for multilateration and triangulation in 2D,3D and on earth surface. The current model of the earth, supported by the package, is called Earth1. Earth1 models the earth as an ideal sphere having radius of 6378.1 kilometers.

Installation

The package has been tested with python2.7 and python3.6. Use pip to install the package:

pip install localization

Usage

Typical usage of the package is:

import localization as lx

To initilaize new localization Project use:

P=lx.Project(mode=<mode>,solver=<solver>)

Currently three modes are supported:

• 2D
• 3D
• Earth1

Also three solvers can be used:

• LSE for least square error
• LSE_GC for least square error with geometric constraints. Geometric constraints force the solutions to be in the intersection areas of all multilateration circles.
• CCA for centroid method, i.e., the solution will be the centroid of the intersection area. If no common intersection area exist, the area with maximum overlap is used.

To add anchors to the project use:

P.add_anchor(<name>,<loc>)

where name denote user provided label of the anchor and is the location of the anchor provided in tuple, e.g., (120,60).

To add target use:

t,label=P.add_target()

t is the target object and label is the package provided label for the target.

Distance measurements must be added to target object like:

t.add_measure(<anchore_lable>,<measured_distance>)

Finally running P.solve() will locate all targets. You can access the estimated location of the target t by t.loc. t.loc is a point object. Point object B has x,y,z coordinates available by B.x, B.y, B.z respectively.

Here is a sample use of the package for three anchors and one target scenario:

import localization as lx

P=lx.Project(mode='2D',solver='LSE')


P.add_anchor('anchore_A',(0,100))
P.add_anchor('anchore_B',(100,100))
P.add_anchor('anchore_C',(100,0))

t,label=P.add_target()

t.add_measure('anchore_A',50)
t.add_measure('anchore_B',50)
t.add_measure('anchore_C',50)

P.solve()

# Then the target location is:

print(t.loc)

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