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Title: Contributed Review: Source-localization algorithms and applications using time of arrival and time difference of arrival measurements

Abstract

Locating the position of fixed or mobile sources (i.e., transmitters) based on received measurements from sensors is an important research area that is attracting much research interest. In this paper, we present localization algorithms using time of arrivals (TOA) and time difference of arrivals (TDOA) to achieve high accuracy under line-of-sight conditions. The circular (TOA) and hyperbolic (TDOA) location systems both use nonlinear equations that relate the locations of the sensors and tracked objects. These nonlinear equations can develop accuracy challenges because of the existence of measurement errors and efficiency challenges that lead to high computational burdens. Least squares-based and maximum likelihood-based algorithms have become the most popular categories of location estimators. We also summarize the advantages and disadvantages of various positioning algorithms. As a result, by improving measurement techniques and localization algorithms, localization applications can be extended into the signal-processing-related domains of radar, sonar, the Global Positioning System, wireless sensor networks, underwater animal tracking, mobile communications, and multimedia.

Authors:
 [1];  [1]; ORCiD logo [1];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1249779
Alternate Identifier(s):
OSTI ID: 1253850; OSTI ID: 1420615
Report Number(s):
PNNL-SA-114716
Journal ID: ISSN 0034-6748; WC0102000
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article: Published Article
Journal Name:
Review of Scientific Instruments
Additional Journal Information:
Journal Volume: 87; Journal Issue: 4; Journal ID: ISSN 0034-6748
Publisher:
American Institute of Physics (AIP)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 47 OTHER INSTRUMENTATION; localization; TOA; TDOA

Citation Formats

Li, Xinya, Deng, Zhiqun Daniel, Rauchenstein, Lynn T., and Carlson, Thomas J. Contributed Review: Source-localization algorithms and applications using time of arrival and time difference of arrival measurements. United States: N. p., 2016. Web. doi:10.1063/1.4947001.
Li, Xinya, Deng, Zhiqun Daniel, Rauchenstein, Lynn T., & Carlson, Thomas J. Contributed Review: Source-localization algorithms and applications using time of arrival and time difference of arrival measurements. United States. doi:10.1063/1.4947001.
Li, Xinya, Deng, Zhiqun Daniel, Rauchenstein, Lynn T., and Carlson, Thomas J. Mon . "Contributed Review: Source-localization algorithms and applications using time of arrival and time difference of arrival measurements". United States. doi:10.1063/1.4947001.
@article{osti_1249779,
title = {Contributed Review: Source-localization algorithms and applications using time of arrival and time difference of arrival measurements},
author = {Li, Xinya and Deng, Zhiqun Daniel and Rauchenstein, Lynn T. and Carlson, Thomas J.},
abstractNote = {Locating the position of fixed or mobile sources (i.e., transmitters) based on received measurements from sensors is an important research area that is attracting much research interest. In this paper, we present localization algorithms using time of arrivals (TOA) and time difference of arrivals (TDOA) to achieve high accuracy under line-of-sight conditions. The circular (TOA) and hyperbolic (TDOA) location systems both use nonlinear equations that relate the locations of the sensors and tracked objects. These nonlinear equations can develop accuracy challenges because of the existence of measurement errors and efficiency challenges that lead to high computational burdens. Least squares-based and maximum likelihood-based algorithms have become the most popular categories of location estimators. We also summarize the advantages and disadvantages of various positioning algorithms. As a result, by improving measurement techniques and localization algorithms, localization applications can be extended into the signal-processing-related domains of radar, sonar, the Global Positioning System, wireless sensor networks, underwater animal tracking, mobile communications, and multimedia.},
doi = {10.1063/1.4947001},
journal = {Review of Scientific Instruments},
number = 4,
volume = 87,
place = {United States},
year = {Mon Apr 25 00:00:00 EDT 2016},
month = {Mon Apr 25 00:00:00 EDT 2016}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1063/1.4947001

Citation Metrics:
Cited by: 5 works
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Works referenced in this record:

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