Adaptive Covariance Feedback Cubature Kalman Filtering for Continuous-Discrete Bearings-Only Tracking System

Bearings-only tracking is a continuous-discrete system, whose state of motion is in the continuous-time domain and the measurement is in the discrete-time domain. The unpredicted approximation errors are inevitable due to integration, discretization, and linearization of continuous model in many fil...

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Main Authors: Renke He, Shuxin Chen, Hao Wu, Han Xu, Kun Chen, Jing Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8570737/
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author Renke He
Shuxin Chen
Hao Wu
Han Xu
Kun Chen
Jing Liu
author_facet Renke He
Shuxin Chen
Hao Wu
Han Xu
Kun Chen
Jing Liu
author_sort Renke He
collection DOAJ
description Bearings-only tracking is a continuous-discrete system, whose state of motion is in the continuous-time domain and the measurement is in the discrete-time domain. The unpredicted approximation errors are inevitable due to integration, discretization, and linearization of continuous model in many filtering methods. The adaptive covariance feedback framework is proposed for solving this kind of problem, in which the posterior covariance sequence is proved theoretically to be useful for prior covariance updating. In this framework, the covariance feedback framework is integrated with the continuous-discrete cubature Kalman filtering, and Chebyshev distance is applied to judge the proper condition for the start-up of the feedback channel. The numerical results illustrate the proposed method’s superior performance in accuracy and computational efficiency.
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spelling doaj.art-282359673fe34b75bc9eb4cecd8ba99d2022-12-21T23:44:17ZengIEEEIEEE Access2169-35362019-01-0172686269410.1109/ACCESS.2018.28858568570737Adaptive Covariance Feedback Cubature Kalman Filtering for Continuous-Discrete Bearings-Only Tracking SystemRenke He0https://orcid.org/0000-0002-4000-1505Shuxin Chen1Hao Wu2Han Xu3Kun Chen4Jing Liu5Information and Navigation College, Air Force Engineering University, Xi’an, ChinaInformation and Navigation College, Air Force Engineering University, Xi’an, ChinaInformation and Navigation College, Air Force Engineering University, Xi’an, ChinaInformation and Navigation College, Air Force Engineering University, Xi’an, ChinaAir Force Harbin Flight Academy, Harbin, ChinaInformation and Navigation College, Air Force Engineering University, Xi’an, ChinaBearings-only tracking is a continuous-discrete system, whose state of motion is in the continuous-time domain and the measurement is in the discrete-time domain. The unpredicted approximation errors are inevitable due to integration, discretization, and linearization of continuous model in many filtering methods. The adaptive covariance feedback framework is proposed for solving this kind of problem, in which the posterior covariance sequence is proved theoretically to be useful for prior covariance updating. In this framework, the covariance feedback framework is integrated with the continuous-discrete cubature Kalman filtering, and Chebyshev distance is applied to judge the proper condition for the start-up of the feedback channel. The numerical results illustrate the proposed method’s superior performance in accuracy and computational efficiency.https://ieeexplore.ieee.org/document/8570737/Cubature Kalman filteringbearings-only trackingnonlinear filteringcontinuous-discrete systems
spellingShingle Renke He
Shuxin Chen
Hao Wu
Han Xu
Kun Chen
Jing Liu
Adaptive Covariance Feedback Cubature Kalman Filtering for Continuous-Discrete Bearings-Only Tracking System
IEEE Access
Cubature Kalman filtering
bearings-only tracking
nonlinear filtering
continuous-discrete systems
title Adaptive Covariance Feedback Cubature Kalman Filtering for Continuous-Discrete Bearings-Only Tracking System
title_full Adaptive Covariance Feedback Cubature Kalman Filtering for Continuous-Discrete Bearings-Only Tracking System
title_fullStr Adaptive Covariance Feedback Cubature Kalman Filtering for Continuous-Discrete Bearings-Only Tracking System
title_full_unstemmed Adaptive Covariance Feedback Cubature Kalman Filtering for Continuous-Discrete Bearings-Only Tracking System
title_short Adaptive Covariance Feedback Cubature Kalman Filtering for Continuous-Discrete Bearings-Only Tracking System
title_sort adaptive covariance feedback cubature kalman filtering for continuous discrete bearings only tracking system
topic Cubature Kalman filtering
bearings-only tracking
nonlinear filtering
continuous-discrete systems
url https://ieeexplore.ieee.org/document/8570737/
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