Robust Localization in Cluttered Environments with NLOS Propagation

In this paper, we propose a robust multilateration algorithm for localizing sensor nodes in cluttered environments where the estimated distances between an unlocalized node and reference nodes with known coordinates may contain large errors due to non line of sight signal propagation. We show that t...

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Үндсэн зохиолчид: Nawaz, S, Trigoni, N
Формат: Report
Хэвлэсэн: OUCL 2009
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author Nawaz, S
Trigoni, N
author_facet Nawaz, S
Trigoni, N
author_sort Nawaz, S
collection OXFORD
description In this paper, we propose a robust multilateration algorithm for localizing sensor nodes in cluttered environments where the estimated distances between an unlocalized node and reference nodes with known coordinates may contain large errors due to non line of sight signal propagation. We show that the traditional least squares multilateration is severely affected even if one of the measured distances is erroneous whereas our approach functions properly even if half of the measured distances contain large errors due to non line of sight signals. Our algorithm is independent of the physical layer used to perform ranging and does not require the identification of direct and reflected signals or any prior information about the statistical properties of measurement errors or characterization of the environment where the sensor nodes are deployed.
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spelling oxford-uuid:00b1a8c6-5ca4-41ab-a765-222e12c89e302022-03-26T08:30:52ZRobust Localization in Cluttered Environments with NLOS PropagationReporthttp://purl.org/coar/resource_type/c_93fcuuid:00b1a8c6-5ca4-41ab-a765-222e12c89e30Department of Computer ScienceOUCL2009Nawaz, STrigoni, NIn this paper, we propose a robust multilateration algorithm for localizing sensor nodes in cluttered environments where the estimated distances between an unlocalized node and reference nodes with known coordinates may contain large errors due to non line of sight signal propagation. We show that the traditional least squares multilateration is severely affected even if one of the measured distances is erroneous whereas our approach functions properly even if half of the measured distances contain large errors due to non line of sight signals. Our algorithm is independent of the physical layer used to perform ranging and does not require the identification of direct and reflected signals or any prior information about the statistical properties of measurement errors or characterization of the environment where the sensor nodes are deployed.
spellingShingle Nawaz, S
Trigoni, N
Robust Localization in Cluttered Environments with NLOS Propagation
title Robust Localization in Cluttered Environments with NLOS Propagation
title_full Robust Localization in Cluttered Environments with NLOS Propagation
title_fullStr Robust Localization in Cluttered Environments with NLOS Propagation
title_full_unstemmed Robust Localization in Cluttered Environments with NLOS Propagation
title_short Robust Localization in Cluttered Environments with NLOS Propagation
title_sort robust localization in cluttered environments with nlos propagation
work_keys_str_mv AT nawazs robustlocalizationinclutteredenvironmentswithnlospropagation
AT trigonin robustlocalizationinclutteredenvironmentswithnlospropagation