Adaptive Kernel Learning Kalman Filtering With Application to Model-Free Maneuvering Target Tracking-Reference-Cited by-同舟云学术

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Adaptive Kernel Learning Kalman Filtering With Application to Model-Free Maneuvering Target Tracking

Published:2022 Issue: Volume:10 Page:78088-78101
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Yuankai¹^ORCID,Lou Jiaxin¹^ORCID,Tan Xiaosu¹,Xu Yanke²,Zhang Jinpeng²,Jing Zhongliang³^ORCID

Affiliation:

1. School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, China

2. Luoyang Optoelectro Technology Development Center, Luoyang, China

3. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, China

Funder

Chinese Aeronautical Establishment

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09837071.pdf?arnumber=9837071

Cited by 3 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. Hybrid neural network for personnel recognition and tracking in remote bidding evaluation monitoring;2024-08-20

2. Robust GNSS Spoofing Detection Against UE Maneuver in a GNSS-5G mmWave Hybrid Positioning System;IEEE Sensors Journal;2024-07-01

3. A Weighted Gaussian Kernel Least Mean Square Algorithm;Circuits, Systems, and Signal Processing;2023-04-11

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