Adaptive SRCKF Based on m Estimation-Reference-Cited by-同舟云学术

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Adaptive SRCKF Based on m Estimation

Published:2021-09 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI)
language:
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Author:

Zhang Yingying¹,Li Jiying¹,Bai Junjie¹,Xu Wanjing¹

Affiliation:

1. Lanzhou Jiaotong University,College of Electronic & Information Engineering,Lanzhou,Gansu,China

Funder

Natural Science Foundation of Gansu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9718566/9718568/09718987.pdf?arnumber=9718987

Reference14 articles.

1. Application of adaptive high-degree cubature Kalman filter in target tracking[J];nai-gang;Acta Aeronauticaet Ast ronautica Sinica,2015

2. Robust Kalman filter algorithm design with unknown statistical characteristics of noise [J];jianwen;Control Theory and Application,2011

3. Asymptotic properties on high-dimensional multivariate regression M-estimation - Science Direct [J];hao;Journal of Multivariate Analysis,2021

4. An improved Sage-Husa adaptive tracking filter[J];xu;Electronic Information Warfare Technology,2020

5. Robust Kalman Filter for Outliers and Unknown Observation Noise[J];anran;Systems Engineering and Electronics,0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lithium Battery SOC Estimation Based on Multi-Innovation Unscented and Fractional Order Square Root Cubature Kalman Filter;Applied Sciences;2022-09-22

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