Target tracking by neural network maneuver modeling | IEEE Conference Publication | IEEE Xplore

Target tracking by neural network maneuver modeling


Abstract:

A new approach to tracking a maneuvering target using a neural network-based scheme is developed. The neural network models the target manoeuvre and assists a Kalman filt...Show More

Abstract:

A new approach to tracking a maneuvering target using a neural network-based scheme is developed. The neural network models the target manoeuvre and assists a Kalman filter in updating its gains in order to generate correct estimates of target position and velocity. A performance evaluation of the target tracking scheme is conducted under various interesting scenarios. The parallel processing capabilities of trained neural nets are exploited in this application for realistically handling more input features to correct for the bias induced by the target manoeuvre.<>
Date of Conference: 28 June 1994 - 02 July 1994
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-1901-X
Conference Location: Orlando, FL, USA

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