An Online Exploratory Maximum Likelihood Estimation Approach to Adaptive Kalman Filtering

Jiajun Cheng; Haonan Chen; Zhirui Xue; Yulong Huang; Yonggang Zhang

doi:10.1109/jas.2024.125001

ScienceGate Book Chapters

JOURNAL ARTICLE

An Online Exploratory Maximum Likelihood Estimation Approach to Adaptive Kalman Filtering

Jiajun Cheng Haonan Chen Zhirui Xue Yulong Huang Yonggang Zhang

Year: 2024 Journal: IEEE/CAA Journal of Automatica Sinica Vol: 12 (1)Pages: 228-254 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/jas.2024.125001

Get Full-Text PDF Get Analytical Report

Keywords:

Kalman filter Maximum likelihood Computer science Estimation Moving horizon estimation Maximum likelihood sequence estimation Extended Kalman filter Estimation theory Artificial intelligence Statistics Algorithm Mathematics Engineering

Metrics

Cited By

6.39

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

An Online Exploratory Maximum Likelihood Estimation Approach to Adaptive Kalman Filtering

Metrics

Citation History

Topics

Related Documents

An adaptive Kalman filtering algorithm based on maximum likelihood estimation

Adaptive Unscented Kalman Filter using Maximum Likelihood Estimation

Quasi-maximum likelihood estimation for non-stationary stochastic volatility models: diffuse Kalman filtering approach

Symmetrical Components Estimation Through Maximum Likelihood Algorithm and Adaptive Filtering

Maximum likelihood estimation for filtering thresholds