A Novel Self Localization Approach for Sensors

Dogan Yildiz; Serap Karagol; Okan Ozgonenel; Satish Tadiparthi; Marwan U Bikdash

doi:10.1109/SSPD.2015.7288499

A Novel Self Localization Approach for Sensors

Dogan Yildiz
, Serap Karagol
, Okan Ozgonenel
, Satish Tadiparthi
, Marwan U Bikdash

Computational Data Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

This paper presents a modification of 3N Time of Arrival (TOA) and a reliable Time Difference of Arrival (TDOA) based localization algorithms. TDOA is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. The TDOA algorithm is guaranteed to find all possible relevant solutions, even when implemented on a computational node with limited capability. Monte- Carlo simulations were used to assess the performance for both algorithms.

Original language	English
Title of host publication	2015 Sensor Signal Processing for Defence, SSPD 2015
Place of Publication	usa
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479974443
DOIs	https://doi.org/10.1109/SSPD.2015.7288499
State	Published - Oct 2 2015
Event	5th Sensor Signal Processing for Defence, SSPD 2015 - Edinburgh, United Kingdom Duration: Sep 9 2015 → Sep 10 2015

Conference

Conference	5th Sensor Signal Processing for Defence, SSPD 2015
Country/Territory	United Kingdom
City	Edinburgh
Period	09/9/15 → 09/10/15

Keywords

Hyperbolic Position Estimation
Parametric Equations
Sensors
TDOA
TOA

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10.1109/SSPD.2015.7288499

Cite this

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title = "A Novel Self Localization Approach for Sensors",

abstract = "This paper presents a modification of 3N Time of Arrival (TOA) and a reliable Time Difference of Arrival (TDOA) based localization algorithms. TDOA is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. The TDOA algorithm is guaranteed to find all possible relevant solutions, even when implemented on a computational node with limited capability. Monte- Carlo simulations were used to assess the performance for both algorithms.",

keywords = "Hyperbolic Position Estimation, Parametric Equations, Sensors, TDOA, TOA",

author = "Dogan Yildiz and Serap Karagol and Okan Ozgonenel and Satish Tadiparthi and Bikdash, \{Marwan U\}",

year = "2015",

month = oct,

day = "2",

doi = "10.1109/SSPD.2015.7288499",

language = "English",

booktitle = "2015 Sensor Signal Processing for Defence, SSPD 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "5th Sensor Signal Processing for Defence, SSPD 2015 ; Conference date: 09-09-2015 Through 10-09-2015",

}

Yildiz, D, Karagol, S, Ozgonenel, O, Tadiparthi, S & Bikdash, MU 2015, A Novel Self Localization Approach for Sensors. in 2015 Sensor Signal Processing for Defence, SSPD 2015., 7288499, Institute of Electrical and Electronics Engineers Inc., usa, 5th Sensor Signal Processing for Defence, SSPD 2015, Edinburgh, United Kingdom, 09/9/15. https://doi.org/10.1109/SSPD.2015.7288499

TY - GEN

T1 - A Novel Self Localization Approach for Sensors

AU - Yildiz, Dogan

AU - Karagol, Serap

AU - Ozgonenel, Okan

AU - Tadiparthi, Satish

AU - Bikdash, Marwan U

PY - 2015/10/2

Y1 - 2015/10/2

N2 - This paper presents a modification of 3N Time of Arrival (TOA) and a reliable Time Difference of Arrival (TDOA) based localization algorithms. TDOA is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. The TDOA algorithm is guaranteed to find all possible relevant solutions, even when implemented on a computational node with limited capability. Monte- Carlo simulations were used to assess the performance for both algorithms.

AB - This paper presents a modification of 3N Time of Arrival (TOA) and a reliable Time Difference of Arrival (TDOA) based localization algorithms. TDOA is formulated using the parametric equations of the hyperbolas whose intersections are candidate locations for the nodes to be localized. The TDOA algorithm is guaranteed to find all possible relevant solutions, even when implemented on a computational node with limited capability. Monte- Carlo simulations were used to assess the performance for both algorithms.

KW - Hyperbolic Position Estimation

KW - Parametric Equations

KW - Sensors

KW - TDOA

KW - TOA

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DO - 10.1109/SSPD.2015.7288499

M3 - Conference contribution

BT - 2015 Sensor Signal Processing for Defence, SSPD 2015

PB - Institute of Electrical and Electronics Engineers Inc.

CY - usa

T2 - 5th Sensor Signal Processing for Defence, SSPD 2015

Y2 - 9 September 2015 through 10 September 2015

ER -

A Novel Self Localization Approach for Sensors

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Keywords

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