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Journal ArticleDOI

UWB Location and tracking for wireless embedded networks

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TLDR
A simple and robust two-stage, non-coherent TOA estimation approach for positioning algorithms utilizing both noniterative and iterative techniques and a positioning algorithm for node location in multi-hop distributed networks is proposed.
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This article is published in Signal Processing.The article was published on 2006-09-01. It has received 129 citations till now. The article focuses on the topics: Smoothing & Node (networking).

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Citations
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Journal ArticleDOI

Accurate Passive Location Estimation Using TOA Measurements

TL;DR: This paper considers the case where one transmitter and multiple, distributed, receivers are used to estimate the location of a passive (reflecting) object and proposes a novel, Two-Step estimation (TSE) algorithm for the localization of the object.
Journal ArticleDOI

RFID localization algorithms and applications—a review

TL;DR: An overview of the available technologies for localization with a focus on radio frequency based technologies is introduced and it is shown that objects can be successfully localized using either multilateration or Bayesian inference methods.
Journal ArticleDOI

A Theoretical Foundation of Network Localization and Navigation

TL;DR: A theoretical foundation of NLN is presented, including a mathematical formulation for NLN, an introduction of equivalent Fisher information analysis, and determination of the fundamental limits of localization accuracy.
Journal ArticleDOI

A Novel NLOS Mitigation Algorithm for UWB Localization in Harsh Indoor Environments

TL;DR: This paper proposes a less environment-dependent and a priori knowledge-independent NLOS identification and mitigation method for ranging which is able to determine the specific NLOS channel and an equality constrained Taylor series robust least squares technique is proposed to suppress residual NLOS range errors by introducing robustness to Taylor series least squares method.
Proceedings ArticleDOI

Performance comparison of TOA and TDOA based location estimation algorithms in LOS environment

TL;DR: Various positioning algorithms for range-based TOA and TDOA localization have been analyzed, which include the analytical method, least square method, approximatemaximum likelihood method, Taylor series method, two-stage maximum likelihood method and genetic algorithm.
References
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Journal ArticleDOI

Fundamentals of statistical signal processing: estimation theory

TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
Journal ArticleDOI

A Rapidly Convergent Descent Method for Minimization

TL;DR: A number of theorems are proved to show that it always converges and that it converges rapidly, and this method has been used to solve a system of one hundred non-linear simultaneous equations.
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