GSM Filter: A Learning Model of Measurement Noise Distributions for Bayesian Filtering
Author:
Affiliation:
1. Key Labora-tory of EMW Information, Department of Electronic Engineering, School of Information Science and Technology, Fudan University, Shanghai, China
Funder
National Natural Sci-ence Foundation of China
Science and Technology Innovation Action Plan of Shanghai in 2019: Social Development Technology Field
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Aerospace Engineering
Link
http://xplorestaging.ieee.org/ielx7/7/7778228/10124050.pdf?arnumber=10124050
Reference51 articles.
1. Gaussian sum PHD filtering algorithm for nonlinear non-Gaussian models;yin;Chin J Aeronaut,2008
2. State estimation for the electro-hydraulic actuator based on particle filter with an improved resampling technique;guo;J Risk Rel,2019
3. Gaussian sum particle filtering;jayesh;IEEE Trans Signal Process,2003
4. Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature
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