Work

A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation

Year: 2013

Type: article

Abstract: In this paper, a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem. The proposed method is named as strong tracking cubature Kalman filter (STCKF). In the STCKF, a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain accordingly. Simulation results indicate STCKF outperforms over EKF and CKF in state estimation accuracy.

Source: Applied Mechanics and Materials

DOI: 10.4028/www.scientific.net/amm.313-314.1115

Authors: Yong Qi Wang, Feng Yang, Yan Liang, Quan Pan

Institution: Northwestern Polytechnical University

Language: English

Topic: Target Tracking and Data Fusion in Sensor Networks

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W2077505995

FWCI:

Cites: 8

Cited by: 1

Related to: 10