NDLI: Kalman filter based target tracking for track while scan data processing

Content Provider	IEEE Xplore Digital Library
Author	Raj, K.D.S. Krishna, I.M.
Copyright Year	2015
Description	Author affiliation: Dept. of Avionics, JNTUK-Kakinada, Kakinada, India (Raj, K.D.S.; Krishna, I.M.)
Abstract	The targets parameter to be measured for tracking are its relative position in range, azimuth angle, elevation angle and velocity. These parameters can be measured by tracking radar systems. Upon keeping the tracking of these measured parameters the tracker predict their future values. Fire control and missile guidance can be assisted through target tracking only. In fact missile guidance cannot be achieved without tracking the target properly. To predict target parameters (future samples) between scans, track while scan radar system sample each target once per scan interval by using sophisticated smoothing and prediction filters among which alpha-beta-gamma (αβγ) and Kalman filters are commonly used. The principle of recursive tracking and prediction filters are proposed in this paper for two maneuvering targets (lazy and aggressive maneuvering), by implementing the second and third order one dimensional fixed gain polynomial filter trackers. Finally the equations for an n-dimensional multi state Kalman filter are implemented and analyzed. In order to evaluate the performance of tracking filters the target considered in this paper is a Novator K100 Indian/Russian air-to-air missile designed to fly at Mach 4. In this paper the main objective of developing these filter tracking algorithmsis to reduce the measurement noise and tracking filter must be capable of tracking maneuvering targets with small residual (tracking errors).
Starting Page	878
Ending Page	883
File Size	1210745
Page Count	6
File Format	PDF
e-ISBN	9781479972258
DOI	10.1109/ECS.2015.7125040
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Missiles Target tracking Kalman filters and Residual error Noise Alpha-beta-gamma (αβγ) Radar tracking Mathematical model Kalman filters
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

Performance comparison of constant coefficient and variable coefficient tracking filters in radar detection

Ballistic Rockets Tracking: Kalman versus αβγ Filters

Track correlation based on the quasi-consistent extended Kalman filter

An adaptive Kalman filter for radar tracking application

Tracking of ballistic target on re-entry using ensemble Kalman filter

Inducing Anti-Radiation Missile Safely under Coherent Decoy Based on VD-Kalman Filter

Kalman-based tracker for multiple radar targets

On /spl alpha/-/spl beta/ target tracking: the probability of target escape

/spl alpha/-/spl beta/ target tracking with track rate variations

Kalman filter based target tracking for track while scan data processing

Similar Documents

Performance comparison of constant coefficient and variable coefficient tracking filters in radar detection

Ballistic Rockets Tracking: Kalman versus αβγ Filters

Track correlation based on the quasi-consistent extended Kalman filter

An adaptive Kalman filter for radar tracking application

Tracking of ballistic target on re-entry using ensemble Kalman filter

Inducing Anti-Radiation Missile Safely under Coherent Decoy Based on VD-Kalman Filter

Kalman-based tracker for multiple radar targets

On /spl alpha/-/spl beta/ target tracking: the probability of target escape

/spl alpha/-/spl beta/ target tracking with track rate variations

Kalman filter based target tracking for track while scan data processing