Introduction to Positioning Algorithms

In cooperative localization, geometric equations related to location of multiple target tags (TG) are used as a part of positioning algorithm. This chapter begins with describing basic triangulation methods for positioning a TG with minimum reference points using different combinations of measuremen...

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Bibliographic Details
Published in:Indoor Geolocation Science and Technology pp. 235 - 267
Main Author: Pahlavan, Kaveh
Format: Book Chapter
Language:English
Published: United Kingdom Routledge 2019
River Publishers
Edition:1
Subjects:
Positioning Algorithms
LS Algorithm
Transmit RF Signal
Positioning Error
RLS Algorithm
Cost Function
Cooperative Localization
Fix Coordinate
Geometric Equations
FIM
Gaussian Measurement Noise
LS Problem
Quadratic Equations
Arbitrary Location
Ml Estimate
MMSE
Jacobian Matrix
RF Device
Newton Gauss Method
LS Solution
Grid Size Increases
CRLB
Gps System
LS Method
ISBN:8770220514, 9788770220514
Online Access:Get full text
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Summary:In cooperative localization, geometric equations related to location of multiple target tags (TG) are used as a part of positioning algorithm. This chapter begins with describing basic triangulation methods for positioning a TG with minimum reference points using different combinations of measurements of distance and angle of arrival. Recursive least square (RLS) algorithm is very useful in navigation of mobile TGs. The RLS algorithm is also applicable to any other geometric localization algorithm for continual positioning using updated measurements from a mobile using distance or angle of arrival. Distance-based positioning is the choice of all popular time of arrival -based positioning systems. In outdoor urban areas, when the line-of-sight (LOS) path between the transmitter and the receiver is blocked by a building, we have an obstructed-LOS condition with a blocked direct path. Numerical solution to the localization problem offers itself as an alternative with more robust positioning of a location.
ISBN:8770220514
9788770220514
DOI:10.1201/9781003338536-7