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.

Full text available as:
[img] PDF
Restricted to Archive staff only

Download (4091Kb)

    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: Proj.Doc/Technical Report (Technical Report)
    Uncontrolled Keywords: IRST;Linearized Measurement Matrix;State Vector13; Fusion;Extended Kalman Filter
    Subjects: AERONAUTICS > Aircraft Design, Testing & Performance
    Division/Department: Flight Mechanics and Control Division, Flight Mechanics and Control Division
    Depositing User: Mrs Manoranjitha M D
    Date Deposited: 16 Jan 2009
    Last Modified: 24 May 2010 09:39
    URI: http://nal-ir.nal.res.in/id/eprint/950

    Actions (login required)

    View Item