FPGA-Based Implementation of Kalman Filter for Real-Time Estimation of Tire Velocity and Acceleration-Reference-Cited by-同舟云学术

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FPGA-Based Implementation of Kalman Filter for Real-Time Estimation of Tire Velocity and Acceleration

Published:2017-09-01 Issue:17 Volume:17 Page:5749-5758
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Sandhu Fargham,Selamat Hazlina^ORCID,Alavi S. E.,Behtaji Siahkal Mahalleh Vahid

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/8006334/07979508.pdf?arnumber=7979508

Cited by 14 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. An enhanced dynamic soft sensor–based online estimation of missing data for water distribution system with inherent disturbances;Transactions of the Institute of Measurement and Control;2023-02-17

2. Detection Optimization of an Optically Trapped Microparticle in Vacuum with Kalman Filter;Photonics;2022-09-27

3. Model-reference adaptive sliding mode control of longitudinal speed tracking for autonomous vehicles;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2022-02-07

4. Estimation of the Speed From the Odometer Readings Using Optimized Curve-Fitting Filter;IEEE Sensors Journal;2021-07-15

5. Architectural Exploration for Energy-Efficient Fixed-Point Kalman Filter VLSI Design;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2021-07

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