NDLI: The Effect of Sensor Health on State Estimation

Content Provider	IEEE Xplore Digital Library
Author	Ling Shi Epstein, M. Murray, R.M.
Copyright Year	2006
Description	Author affiliation: Control & Dynamical Syst., California Inst. of Technol., Pasadena, CA (Ling Shi; Epstein, M.; Murray, R.M.)
Abstract	In this paper, we consider the problem of state estimation using the standard Kalman filter recursions which takes account of the available sensor health information. Given a stochastic description of the sensor health, we are able to show that the expected error covariance converges to a unique value for all initial values, while the available previous work only showed the upper bound of the expected error covariance converges. Our approach provides both theoretical value to the analysis as well as the potential to get tighter upper bound. Our results provide a criterion of evaluating the sensor measurement. In the multisensor fusion problem, depending on the system error tolerance levels, it can then be determined whether to fuse a particular sensor measurement or not. Examples and simulations are provided to assist the theory
Starting Page	3315
Ending Page	3320
File Size	176967
Page Count	6
File Format	PDF
ISBN	1424401712
DOI	10.1109/CDC.2006.377482
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	State estimation Sensor fusion Upper bound Noise measurement Global Positioning System Sensor systems Time measurement Satellites Sensor phenomena and characterization Fuses
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

Robust vehicle localization based on multi-level sensor fusion and online parameter estimation

Information Fusion in Distributed Sensor Networks

Quaternion attitude estimation for miniature air vehicles using a multiplicative extended Kalman filter

Information fusion in a multi-frequencies GPS receiver

Multiple sensor fusion for navigation systems

Decomposed state-fusion estimation for multisensor data fusion system

Multisensor state fusion estimation with correlated measurement noise

Integrated Navigation System Study Based on Multiscale Recursive Fusion Estimation

Fuzzy adaptive Kalman filter for multi-sensor system

The Effect of Sensor Health on State Estimation

Similar Documents

Robust vehicle localization based on multi-level sensor fusion and online parameter estimation

Information Fusion in Distributed Sensor Networks

Quaternion attitude estimation for miniature air vehicles using a multiplicative extended Kalman filter

Information fusion in a multi-frequencies GPS receiver

Multiple sensor fusion for navigation systems

Decomposed state-fusion estimation for multisensor data fusion system

Multisensor state fusion estimation with correlated measurement noise

Integrated Navigation System Study Based on Multiscale Recursive Fusion Estimation

Fuzzy adaptive Kalman filter for multi-sensor system

The Effect of Sensor Health on State Estimation