Fusion of Radar and Infrared Search amp; Track Sensor Data using Kalman Filter

Naidu, VPS and Girija, G (2005) Fusion of Radar and Infrared Search amp; Track Sensor Data using Kalman Filter. Technical Report. National Aerospace Laboratories, Bangalore, India.

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Abstract

Mathematical Models for radar and IRST sensor are presented. Extended Kalman13; filter is used for tracking and state vector fusion methodology is developed. The13; performance of this algorithm is evaluated using simulated data and performance13; metrics. It is concluded that finite difference method and partial derivative method13; performed similarly. It is also concluded from the results that fusion of IRST and13; radar would improve the tracking performance and reduce the positional uncertainty13; compared to individual trackers.

Item Type: Monograph (Technical Report)
Uncontrolled Keywords: IRST;Linearized Measurement Matrix;State Vector13; Fusion;Extended Kalman Filter
Subjects: AERONAUTICS > Aircraft Design, Testing & Performance
Depositing User: Users 15 not found.
Date Deposited: 16 Jan 2009
Last Modified: 24 May 2010 04:09
URI: http://nal-ir.nal.res.in/id/eprint/950

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