An Adaptive Kalman Filtering Algorithm based on Doppler Frequency

DOI

10.2991/iiicec-15.2015.380How to use a DOI?

Keywords

Doppler Frequency; Adaptive; Kalman Filter; Real-time

Abstract

Working in a passive mode, the result of instability, slow convergence and low convergence precision were easy to appear when the underwater target is located by using Kalman filtering algorithm, so an adaptive Kalman filtering algorithm based on Doppler frequency was proposed. The algorithm estimated the statistical characteristics of the system process noise and measurement noise in real-time, dynamically compensate error caused by linearizing observation model, and reduce the bad impact by the observation error. Through the simulation, experiments show that the algorithm performs better in aspects of convergence precision and stability.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Long Li
AU  - Yang Ju
AU  - Xuefeng Yan
AU  - Yong Zhou
PY  - 2015/03
DA  - 2015/03
TI  - An Adaptive Kalman Filtering Algorithm based on Doppler Frequency
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1750
EP  - 1753
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.380
DO  - 10.2991/iiicec-15.2015.380
ID  - Li2015/03
ER  -