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Passive Source Localization in a Randomly Distributed Wireless Sensor Networks

by Muhammad Tabish Niaz, Dr. Adnan Ahmad Khan, Dr. Imran Shafi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 6
Year of Publication: 2011
Authors: Muhammad Tabish Niaz, Dr. Adnan Ahmad Khan, Dr. Imran Shafi
10.5120/2963-3955

Muhammad Tabish Niaz, Dr. Adnan Ahmad Khan, Dr. Imran Shafi . Passive Source Localization in a Randomly Distributed Wireless Sensor Networks. International Journal of Computer Applications. 24, 6 ( June 2011), 1-5. DOI=10.5120/2963-3955

@article{ 10.5120/2963-3955,
author = { Muhammad Tabish Niaz, Dr. Adnan Ahmad Khan, Dr. Imran Shafi },
title = { Passive Source Localization in a Randomly Distributed Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 6 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number6/2963-3955/ },
doi = { 10.5120/2963-3955 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:14.115176+05:30
%A Muhammad Tabish Niaz
%A Dr. Adnan Ahmad Khan
%A Dr. Imran Shafi
%T Passive Source Localization in a Randomly Distributed Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 6
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a source localization scheme using random arrays of Wireless Sensor Networks (WSN). A Total Least Square (TLS) estimator is proposed which improves the result of the location of source node. Using a relatively new Direction of Arrival (DOA) estimation technique Space Division Multiple Access (SDMA) receiver the proposed solution is able to perform localization in a multipath environment. The propose scheme considers both Line of Sight (LOS) and Non Line of Sight (NLOS) signals to perform the localization with the TLS estimator which is efficient than a simple Least Square (LS) estimator. Simulation results are included to demonstrate that the proposed solution provides an improved estimate by exploiting the NLOS information, SDMA receiver and using TLS estimator.

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Index Terms

Computer Science
Information Sciences

Keywords

Localization wireless sensor networks DOA TDOA SDMA receiver Least square Total Least Square Singular Value Decomposition Estimator MUSIC algorithm

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