NDLI: Tracking using Converted Measurement Kalman filter through improved algorithm in the missed detections scenario

Content Provider	IEEE Xplore Digital Library
Author	Valarmathi, J. RaviTeja, D.S.P. Rithesh, K.R. Emmanuel, D.S. Christopher, S.
Copyright Year	2012
Description	Author affiliation: VIT University, Vellore, India (Valarmathi, J.; RaviTeja, D.S.P.; Rithesh, K.R.; Emmanuel, D.S.) \|\| Centre for Airborne System, Ministry of Defence, Bangalore, India (Christopher, S.)
Abstract	Estimating the position of a moving target in the polar frame of reference has been a major problem in the conventional tracking systems. The commonly used sensor equipment provides the position of target in polar coordinates i.e. in range and azimuth (or bearing) angle with respect to the sensor location. The use of simple Kalman filter increases the error in this case. For more accurate tracking, the Converted Measurement Kalman filter (CMKF) is used which can account for the inaccuracies in tracking using polar coordinates. Simulations were performed tracking the target with CMKF. It does not proffer well in missed detection and false alarm scenarios. So the tracking was improved by associating Global nearest Neighbour algorithm (GNN) algorithm with the CMKF. Later the simulations depict the inconsistency of GNN based CMKF in a dense missed detection and false alarm scenarios. So an improved algorithm in track estimation is used to solve the dense missed detections or continuous false alarm problem. Thus, through simulation, it was realized that GNN based improved CMKF is able to give a better tracking. Finally Wiener filtering is used to smoothen the tracking.
Starting Page	1010
Ending Page	1015
File Size	983396
Page Count	6
File Format	PDF
ISBN	9781467320160
ISSN	2157023X
e-ISBN	9781467320177
DOI	10.1109/ICUMT.2012.6459642
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-03
Publisher Place	Russia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Kalman Filter Measurement uncertainty Estimation Filtering algorithms Global nearest Neighbour (GNN) Converted Measurement Kalman Filter (CMKF) False Alarms (FA) Kalman filters Mathematical model Equations
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