A Convolutional Neural Network Particle Filter for UUV Target State Estimation-Reference-Cited by-同舟云学术

A Convolutional Neural Network Particle Filter for UUV Target State Estimation

Published:2022 Issue: Volume:71 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Lin Changjian¹^ORCID,Cheng Yuhu¹^ORCID,Wang Xuesong¹^ORCID

Affiliation:

1. Engineering Research Center of Intelligent Control for Underground Space, Ministry of Education, and the School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09761897.pdf?arnumber=9761897

Reference45 articles.

1. Clustered Mixture Particle Filter for Underwater Multitarget Tracking in Multistatic Active Sonobuoy Systems

2. Infrared Target Tracking Based on Improved Particle Filtering

3. Position Correction Model Based on Gated Hybrid RNN for AUV Navigation

4. Multisensor Information Fusion for People Tracking With a Mobile Robot: A Particle Filtering Approach

5. Novel approach to nonlinear/non-Gaussian Bayesian state estimation

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