Application of an optimal stochastic Newton-Raphson technique to triangulation-based localization systems

Trilateration-based localization schemes typically extract the needed information, such as distances between transmitters and receivers, from noisy received signal strength (RSS) measurements specific to the employed technologies. Such applications employ non-stochastic methods without appropriately...

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Bibliographic Details
Published in:IEEE/ION Position Location and Navigation Symposium pp. 981 - 986
Main Authors: Saab, Khaled Kamal, Saab, Samer Said
Format: Conference Proceeding Journal Article
Language:English
Published: IEEE 01.04.2016
Subjects:
Algorithm design and analysis
Algorithms
anchor free
Covariance matrices
Localization
Mathematical model
Mathematical models
Newton Raphson methods
Newton's method
Noise
Noise measurement
Optimization
Pollution measurement
Position (location)
relative location
stochastic optimization
Stochasticity
ISSN:2153-3598
Online Access:Get full text
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Summary:Trilateration-based localization schemes typically extract the needed information, such as distances between transmitters and receivers, from noisy received signal strength (RSS) measurements specific to the employed technologies. Such applications employ non-stochastic methods without appropriately targeting noise. This paper proposes employing a recent optimal stochastic Newton-Raphson (NR) algorithm with measurement noise rejection capability for a class of localization applications. In order to show the effectiveness of this algorithm, we numerically consider an anchor-free localization problem with random initial guess. Numerical results show that the proposed recursive algorithm provides significant improvement over the traditional NR method.
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SourceType-Conference Papers & Proceedings-2
ISSN:2153-3598
DOI:10.1109/PLANS.2016.7479798