NDLI: Multi-sensor data fusion algorithm based on fuzzy adaptive Kalman filter

Content Provider	IEEE Xplore Digital Library
Author	Li Jian Lei Yanhua Cai Yunze He Liming
Copyright Year	2013
Description	Author affiliation: China Acad. of Launch Vehicle Technol., Beijing, China (Lei Yanhua) \|\| Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China (Li Jian; Cai Yunze; He Liming)
Abstract	In order to resolve the problem of multi-sensor dynamic system with uncertain or changeable measurement noise, we present a multi-sensor data fusion algorithm based on fuzzy adaptive Kalman filter. Combined fuzzy logic and covariance-matching technique together to adjust the measurement noise covariance and make model measurement noise gradually close to the true noise level. As a result, the Kalman filter's tolerance to model error is improved. When the measurement data is missing or abnormal, the observation is replaced by the predicted one, and the divergence of the traditional Kalman filter is omitted. Then we use a multi-sensor optimal information fusion criterion weighted by matrices in the linear minimum variance sense. The simulation results show the proposed method is feasible and effective, and more accurate for target tracking. At the same time, we discuss the effect of the number of sensor on the estimation precision.
Starting Page	4523
Ending Page	4527
File Size	273756
Page Count	5
File Format	PDF
ISBN	9789881563835
ISSN	19341768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Heuristic algorithms Noise Fuzzy adaptive Data integration Multi-sensor data fusion Kalman Filtering Electronic mail measurement data missing Kalman filters Noise measurement covariance-matching
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An adaptive Kalman filtering tracking algorithm based on improved strong sracking filter

Development of a fuzzy logic-based adaptive Kalman filter

Research on adaptive information fusion Kalman filter algorithm

A data fusion algorithm for multi-sensor dynamic system based on Interacting Multiple Model

The multisensor data fusion parallel algorithm based on Kalman filtering

Hybrid Kalman filter-fuzzy logic adaptive multisensor data fusion architectures

Data Fusion Algorithm Design of GPS/IMU Based on Fuzzy Adaptive Federated Kalman Filter

Adaptive multi-sensor integration in uncertain environment with imperfect sensors

Multiple sensor based UGV localization using fuzzy extended Kalman filtering

Multi-sensor data fusion algorithm based on fuzzy adaptive Kalman filter

Similar Documents

An adaptive Kalman filtering tracking algorithm based on improved strong sracking filter

Development of a fuzzy logic-based adaptive Kalman filter

Research on adaptive information fusion Kalman filter algorithm

A data fusion algorithm for multi-sensor dynamic system based on Interacting Multiple Model

The multisensor data fusion parallel algorithm based on Kalman filtering

Hybrid Kalman filter-fuzzy logic adaptive multisensor data fusion architectures

Data Fusion Algorithm Design of GPS/IMU Based on Fuzzy Adaptive Federated Kalman Filter

Adaptive multi-sensor integration in uncertain environment with imperfect sensors

Multiple sensor based UGV localization using fuzzy extended Kalman filtering

Multi-sensor data fusion algorithm based on fuzzy adaptive Kalman filter