A novel fifth-degree strong tracking cubature Kalman filter for two-dimensional maneuvering target tracking
type: Item
instance of: scholarly article
title: A novel fifth-degree strong tracking cubature Kalman filter for two-dimensional maneuvering target tracking
zbMATH Open document ID: 1427.93247
DOI: 10.1155/2018/5918456
author: Zhaoming Li
author: Wenge Yang
author: Dan Ding
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: A novel fifth-degree strong tracking cubature Kalman filter is put forward to improve the two-dimensional maneuvering target tracking accuracy. First, a new fifth-degree cubature rule, with only one point more than the theoretical lower bound, is used to approximate the intractable nonlinear Gaussian weighted integral in the nonlinear Kalman filtering framework, and a novel fifth-degree cubature Kalman filter is proposed. Then, the suboptimal fading factor is designed for the filter to adjust the filtering gain matrix online and force the residual sequences mutually orthogonal, thus improving the ability of the filter to track the mutation state, and the fifth-degree strong tracking cubature Kalman filter is derived. The suboptimal fading factor is calculated in a new method, which reduces the number of calculations for the cubature points from three times to twice without calculating the Jacobian matrix. The simulation results indicate that the proposed filter has the ability to track the maneuvering target and achieve higher target tracking accuracy and thus verifies the effectiveness of the proposed filter.
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 60G35
zbMATH DE Number: 7019202
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/5918456
OpenAlex ID: W2809177187
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Wikidata QID: Q129636040
description: scientific article; zbMATH DE number 7019202