Non-Cooperative Target Localisation Using Rank Based EDM Approach

Hebatallah Shoukry; Satyanarayana Vuppala; Pat Chambers; Mathini Sellathurai; John Thompson

doi:10.1109/SSPD.2017.8233247

Non-Cooperative Target Localisation Using Rank Based EDM Approach

Hebatallah Shoukry, Satyanarayana Vuppala, Pat Chambers, Mathini Sellathurai, John Thompson

School of Engineering

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

Abstract

An analysis of the effect of the number of sensors on the non-cooperative target node localisation is presented. This work examines the target localisation using a centralised range based approach. In doing this, the work leverages an algorithm based on a class of matrix structure called Euclidean distance matrices (EDMs) for the specific purpose of improving localisation performance when the fusion centre (FC) cannot receive certain sensors' information due to fading or shadowing, etc. While this interesting approach to the problem of localisation has been found to be successful, it is also shown at high delay values the proposed alternating rank-based EDM algorithm outperforms the conventional linear least squares (LLS) based algorithm for the minimum number of sensors. The localisation error decreases when the conditioning of EDM is better, i.e., when the sensors are further apart from each other and closer to the target.

Original language	English
Title of host publication	2017 Sensor Signal Processing for Defence Conference (SSPD)
Pages	1-4
Number of pages	4
DOIs	https://doi.org/10.1109/SSPD.2017.8233247
Publication status	Published - 1 Dec 2017

Keywords / Materials (for Non-textual outputs)

matrix algebra
mobile radio
radio access networks
sensor placement
wireless sensor networks
EDM algorithm
Euclidean distance matrices
centralised range approach
conventional linear least squares algorithm
matrix structure
non-cooperative target localisation
radio communications systems
rank based EDM approach
sensors
target node localisation
wireless sensor network configuration
Algorithm design and analysis
Delays
Noise measurement
Sensor fusion
Wireless sensor networks

Access to Document

10.1109/SSPD.2017.8233247

Signal Processing in the Networked Battlespace
Mulgrew, B. (Principal Investigator), Davies, M. (Co-investigator), Hopgood, J. (Co-investigator) & Thompson, J. (Co-investigator)
EPSRC
1/04/13 → 30/06/18
Project: Research

Cite this

@inproceedings{acdca41f3f474560a3d8a71fe8c163fa,

title = "Non-Cooperative Target Localisation Using Rank Based EDM Approach",

abstract = "An analysis of the effect of the number of sensors on the non-cooperative target node localisation is presented. This work examines the target localisation using a centralised range based approach. In doing this, the work leverages an algorithm based on a class of matrix structure called Euclidean distance matrices (EDMs) for the specific purpose of improving localisation performance when the fusion centre (FC) cannot receive certain sensors' information due to fading or shadowing, etc. While this interesting approach to the problem of localisation has been found to be successful, it is also shown at high delay values the proposed alternating rank-based EDM algorithm outperforms the conventional linear least squares (LLS) based algorithm for the minimum number of sensors. The localisation error decreases when the conditioning of EDM is better, i.e., when the sensors are further apart from each other and closer to the target.",

keywords = "matrix algebra, mobile radio, radio access networks, sensor placement, wireless sensor networks, EDM algorithm, Euclidean distance matrices, centralised range approach, conventional linear least squares algorithm, matrix structure, non-cooperative target localisation, radio communications systems, rank based EDM approach, sensors, target node localisation, wireless sensor network configuration, Algorithm design and analysis, Delays, Noise measurement, Sensor fusion, Wireless sensor networks",

author = "Hebatallah Shoukry and Satyanarayana Vuppala and Pat Chambers and Mathini Sellathurai and John Thompson",

year = "2017",

month = dec,

day = "1",

doi = "10.1109/SSPD.2017.8233247",

language = "English",

pages = "1--4",

booktitle = "2017 Sensor Signal Processing for Defence Conference (SSPD)",

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TY - GEN

T1 - Non-Cooperative Target Localisation Using Rank Based EDM Approach

AU - Shoukry, Hebatallah

AU - Vuppala, Satyanarayana

AU - Chambers, Pat

AU - Sellathurai, Mathini

AU - Thompson, John

PY - 2017/12/1

Y1 - 2017/12/1

N2 - An analysis of the effect of the number of sensors on the non-cooperative target node localisation is presented. This work examines the target localisation using a centralised range based approach. In doing this, the work leverages an algorithm based on a class of matrix structure called Euclidean distance matrices (EDMs) for the specific purpose of improving localisation performance when the fusion centre (FC) cannot receive certain sensors' information due to fading or shadowing, etc. While this interesting approach to the problem of localisation has been found to be successful, it is also shown at high delay values the proposed alternating rank-based EDM algorithm outperforms the conventional linear least squares (LLS) based algorithm for the minimum number of sensors. The localisation error decreases when the conditioning of EDM is better, i.e., when the sensors are further apart from each other and closer to the target.

AB - An analysis of the effect of the number of sensors on the non-cooperative target node localisation is presented. This work examines the target localisation using a centralised range based approach. In doing this, the work leverages an algorithm based on a class of matrix structure called Euclidean distance matrices (EDMs) for the specific purpose of improving localisation performance when the fusion centre (FC) cannot receive certain sensors' information due to fading or shadowing, etc. While this interesting approach to the problem of localisation has been found to be successful, it is also shown at high delay values the proposed alternating rank-based EDM algorithm outperforms the conventional linear least squares (LLS) based algorithm for the minimum number of sensors. The localisation error decreases when the conditioning of EDM is better, i.e., when the sensors are further apart from each other and closer to the target.

KW - matrix algebra

KW - mobile radio

KW - radio access networks

KW - sensor placement

KW - wireless sensor networks

KW - EDM algorithm

KW - Euclidean distance matrices

KW - centralised range approach

KW - conventional linear least squares algorithm

KW - matrix structure

KW - non-cooperative target localisation

KW - radio communications systems

KW - rank based EDM approach

KW - sensors

KW - target node localisation

KW - wireless sensor network configuration

KW - Algorithm design and analysis

KW - Delays

KW - Noise measurement

KW - Sensor fusion

KW - Wireless sensor networks

U2 - 10.1109/SSPD.2017.8233247

DO - 10.1109/SSPD.2017.8233247

M3 - Conference contribution

SP - 1

EP - 4

BT - 2017 Sensor Signal Processing for Defence Conference (SSPD)

ER -

Non-Cooperative Target Localisation Using Rank Based EDM Approach

Abstract

Keywords / Materials (for Non-textual outputs)

Access to Document

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Projects

Signal Processing in the Networked Battlespace

Cite this