The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys

Based on special features of array buoy and the research field of location and tracking of underwater target, the research combines the highly adaptive nonlinear filtering algorithm unscented Kalman filter with the nonlinear programming of multistation array buoy positioning system. In accordance wi...

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Main Authors: Gou Yanni, Wang Qi
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2016/7670609
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author Gou Yanni
Wang Qi
author_facet Gou Yanni
Wang Qi
author_sort Gou Yanni
collection DOAJ
description Based on special features of array buoy and the research field of location and tracking of underwater target, the research combines the highly adaptive nonlinear filtering algorithm unscented Kalman filter with the nonlinear programming of multistation array buoy positioning system. In accordance with the model of nonsequential target location, the research utilizes Unscented Transformation to update the measuring error and covariance matrix of state error, aiming at estimating the filtering of state variable and acquiring the object’s current state of motion. The research analyzes the positioning performance of algorithm, pursuit path, astringency, and other performance indexes of target-relevant parameter through numerical simulation experiment. From the result, the conclusion that multistation array buoy can complete the task of tracing target track very well can be reached, which provides theoretical foundation for putting the algorithm into engineering practice.
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institution Kabale University
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publishDate 2016-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-e85f1e71cbf246f6a914f5c84976ce272025-02-03T01:27:16ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/76706097670609The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array BuoysGou Yanni0Wang Qi1College of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaCollege of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, ChinaBased on special features of array buoy and the research field of location and tracking of underwater target, the research combines the highly adaptive nonlinear filtering algorithm unscented Kalman filter with the nonlinear programming of multistation array buoy positioning system. In accordance with the model of nonsequential target location, the research utilizes Unscented Transformation to update the measuring error and covariance matrix of state error, aiming at estimating the filtering of state variable and acquiring the object’s current state of motion. The research analyzes the positioning performance of algorithm, pursuit path, astringency, and other performance indexes of target-relevant parameter through numerical simulation experiment. From the result, the conclusion that multistation array buoy can complete the task of tracing target track very well can be reached, which provides theoretical foundation for putting the algorithm into engineering practice.http://dx.doi.org/10.1155/2016/7670609
spellingShingle Gou Yanni
Wang Qi
The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys
Discrete Dynamics in Nature and Society
title The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys
title_full The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys
title_fullStr The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys
title_full_unstemmed The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys
title_short The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys
title_sort nonsequential fusion method for localization from unscented kalman filter by multistation array buoys
url http://dx.doi.org/10.1155/2016/7670609
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AT wangqi thenonsequentialfusionmethodforlocalizationfromunscentedkalmanfilterbymultistationarraybuoys
AT gouyanni nonsequentialfusionmethodforlocalizationfromunscentedkalmanfilterbymultistationarraybuoys
AT wangqi nonsequentialfusionmethodforlocalizationfromunscentedkalmanfilterbymultistationarraybuoys