Error‐transfer‐theory based adaptive filtering algorithm for external supported tracking-Reference-Cited by-同舟云学术

Error‐transfer‐theory based adaptive filtering algorithm for external supported tracking

Published:2024-08 Issue:15 Volume:60 Page:
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electronics Letters

Author:

Sun Quan¹²,Huang Xiyao²^ORCID,Ouyang Yi²,Yang Gang²,Yu Mengxin²

Affiliation:

1. College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu China

2. No. 32 Department Shanghai Electro‐Mechanical Engineering Institute Shanghai China

Abstract

AbstractAn improved filtering algorithm, called the EttAF adaptive filtering, is proposed in this paper. Compared with the available algorithm, the equivalent observation error in the fusion centre from the external sensor is considered, which makes the observation noise matrix of the filter dynamically adjust according to the relative relationship between the fusion centre and the external sensor. The strong manoeuvring target is modelled based on the CS‐jerk model, and the error adaptive variation equation is derived for the external data. Simulation results show that compared to traditional algorithm the EttAF algorithm can effectively improve the accuracy of position and velocity by 10.8% and 22.3% respectively.

Publisher

Institution of Engineering and Technology (IET)

Reference17 articles.

1. Communication interference intelligent recognition in the air‐to‐ground collaboration scenario;Liu M.;J. Electron. Inf. Technol.,2022

2. Bearing-Only Localization using Geometrically Constrained Optimization

3. Research on α‐β filter in the course angle navigation of unmanned surface vehicle;Li X.;Chin. J. Sci. Instrum.,2017

4. Variable date rate target tracking algorithm for rotating phased array radar;Li J.;Syst. Eng. Electron.,2021

5. A “current” statistical model and adaptive tracking algorithm for maneuvering targets;Zhou H.;Acta Aeronaut.