Tracking of multiple targets using interactive multiple model and data association filter

Sudesh, K Kashyap and Naidu, VPS and Jatinder, Singh and Girija, G and Raol, JR (2006) Tracking of multiple targets using interactive multiple model and data association filter. Journal of Aerospace Science and Technologies, 58 (1). pp. 66-74.

[img] PDF
tracking_of_mult6iple_targets_using-sudesh_k-.kasyap-oct-2005.pdf
Restricted to Registered users only

Download (624kB) | Request a copy
Official URL: http://www.sciencedirect.com

Abstract

Tracking of multiple targets using interactive multiple model and data association filter has been developed on PC MATLAB. The performance of the algorithm is evaluated in terms of estimated and measured tracks in presence of clutter, mode probability, standard deviation, root mean square position error and with varieties of simulated scenarios. Sensitivity of the algorithm to the choice of tracking models and process noise covariance values has been studied. This algorithm has also been evaluated for multi sensor multi target scenario using fusion technique. It was observed the interactive multiple model probabilistic data association filter gives a realistic confidence in the estimates during maneuvers and lower RSSPE during the non-maneuvering phase of the targets.

Item Type: Article
Additional Information: Copyright for this article belongs to Elsevier Science
Uncontrolled Keywords: Multiple model;Data association filter;Algorithm;Multiple sensors;Kalman filter
Subjects: ENGINEERING > Fluid Mechanics and Thermodynamics
MATHEMATICAL AND COMPUTER SCIENCES > Numerical Analysis
Depositing User: M/S ICAST NAL
Date Deposited: 29 Jan 2008
Last Modified: 07 May 2012 05:37
URI: http://nal-ir.nal.res.in/id/eprint/4544

Actions (login required)

View Item View Item