A TDoA Localization Scheme for Underwater Sensor Networks with Use of Multilinear Chirp Signals

Due to the multipath, Doppler, and other effects, the node location signals have high probability of access collision in the underwater acoustic sensor networks (UW-ASNs), and therefore, it causes the signal lost and the access block; therefore, it constrains the networks performance. In this paper,...

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Main Authors: En Cheng, Xizhou Lin, Shengli Chen, Fei Yuan
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2016/2098927
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spelling doaj-2ecbf66ee6b24823a89f9c405bd7afeb2021-07-02T04:19:38ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2016-01-01201610.1155/2016/20989272098927A TDoA Localization Scheme for Underwater Sensor Networks with Use of Multilinear Chirp SignalsEn Cheng0Xizhou Lin1Shengli Chen2Fei Yuan3Key Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University), Ministry of Education, Xiamen 361005, ChinaKey Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University), Ministry of Education, Xiamen 361005, ChinaKey Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University), Ministry of Education, Xiamen 361005, ChinaKey Laboratory of Underwater Acoustic Communication and Marine Information Technology (Xiamen University), Ministry of Education, Xiamen 361005, ChinaDue to the multipath, Doppler, and other effects, the node location signals have high probability of access collision in the underwater acoustic sensor networks (UW-ASNs), and therefore, it causes the signal lost and the access block; therefore, it constrains the networks performance. In this paper, we take the multilinear chirp (MLC) signals as the location signal to improve the anticollision ability. In order to increase the detection efficiency of MLC, we propose a fast efficient detection method called mixing change rate-fractional Fourier transform (MCR-FrFT). This method transforms the combined rates of MLC into symmetry triangle rates and then separates the multiuser signals based on the transformed rates by using FrFT. Theoretical derivation and simulation results show that the proposed method can detect the locations signals, estimate the time difference of arrival (TDoA), reduce the multiple access interference, and improve the location performance.http://dx.doi.org/10.1155/2016/2098927
collection DOAJ
language English
format Article
sources DOAJ
author En Cheng
Xizhou Lin
Shengli Chen
Fei Yuan
spellingShingle En Cheng
Xizhou Lin
Shengli Chen
Fei Yuan
A TDoA Localization Scheme for Underwater Sensor Networks with Use of Multilinear Chirp Signals
Mobile Information Systems
author_facet En Cheng
Xizhou Lin
Shengli Chen
Fei Yuan
author_sort En Cheng
title A TDoA Localization Scheme for Underwater Sensor Networks with Use of Multilinear Chirp Signals
title_short A TDoA Localization Scheme for Underwater Sensor Networks with Use of Multilinear Chirp Signals
title_full A TDoA Localization Scheme for Underwater Sensor Networks with Use of Multilinear Chirp Signals
title_fullStr A TDoA Localization Scheme for Underwater Sensor Networks with Use of Multilinear Chirp Signals
title_full_unstemmed A TDoA Localization Scheme for Underwater Sensor Networks with Use of Multilinear Chirp Signals
title_sort tdoa localization scheme for underwater sensor networks with use of multilinear chirp signals
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2016-01-01
description Due to the multipath, Doppler, and other effects, the node location signals have high probability of access collision in the underwater acoustic sensor networks (UW-ASNs), and therefore, it causes the signal lost and the access block; therefore, it constrains the networks performance. In this paper, we take the multilinear chirp (MLC) signals as the location signal to improve the anticollision ability. In order to increase the detection efficiency of MLC, we propose a fast efficient detection method called mixing change rate-fractional Fourier transform (MCR-FrFT). This method transforms the combined rates of MLC into symmetry triangle rates and then separates the multiuser signals based on the transformed rates by using FrFT. Theoretical derivation and simulation results show that the proposed method can detect the locations signals, estimate the time difference of arrival (TDoA), reduce the multiple access interference, and improve the location performance.
url http://dx.doi.org/10.1155/2016/2098927
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