NDLI: Building nonlinear filter toolbox with scilab

Content Provider	IEEE Xplore Digital Library
Author	Tao Xu Longhua Ma
Copyright Year	2009
Description	Author affiliation: Institution of Navigation Guidance and Control, Zhejiang University, Hangzhou, China (Tao Xu; Longhua Ma)
Abstract	Nowadays nonlinear theories and nonlinear filtering technology are becoming more and more popular, especially in the fields of navigation guidance and control, image processing, malfunction detecting and objective tracking and so on. The most commonly used nonlinear filter algorithms are EKF (Extended Kalman Filter) and UKF (Unscented Kalman Filter) which are both under the limitation of Gauss distribution condition. While in recently, PF (Particle Filter) turns up with no limitation of Gauss distribution condition. In this paper, we will build a nonlinear filter toolbox on the base of Scilab computing software, including EKF, UKF and PF functions. The paper also gives two applications in nonlinear filter fields and the results show the toolbox is available.
Starting Page	163
Ending Page	168
File Size	429626
Page Count	6
File Format	PDF
ISBN	9781424444526
DOI	10.1109/OSSC.2009.5416912
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Navigation Image processing Software algorithms Nonlinear filters Gaussian distribution Nonlinear Filter Gaussian processes Toolbox Filtering algorithms Density functional theory Particle filters Software tools Scilab software
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

Particle Filter Based on Strong Tracking Filter

Gaussian filter for nonlinear filtering problems

Particle Filtering and Its Application in Satellite Orbit Determination

Estimation of States of Nonlinear Systems using a Particle Filter

Nonlinear state estimating using Adaptive Particle Filter

The Gaussian convolution filter and its application to navigation

Terrain Aided Navigation Algorithm Using Gaussian Sum Particle Filter

Iterated square root unscented Kalman particle filter

A New Adaptive Median Filtering Based on Multidirectional Criterion

Building nonlinear filter toolbox with scilab

Similar Documents

Particle Filter Based on Strong Tracking Filter

Gaussian filter for nonlinear filtering problems

Particle Filtering and Its Application in Satellite Orbit Determination

Estimation of States of Nonlinear Systems using a Particle Filter

Nonlinear state estimating using Adaptive Particle Filter

The Gaussian convolution filter and its application to navigation

Terrain Aided Navigation Algorithm Using Gaussian Sum Particle Filter

Iterated square root unscented Kalman particle filter

A New Adaptive Median Filtering Based on Multidirectional Criterion

Building nonlinear filter toolbox with scilab