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Multiple Order, Multiple-Time Constant Self-Adaptive Tracking Filter

Thomas, Edison (1995) Multiple Order, Multiple-Time Constant Self-Adaptive Tracking Filter. In: International Radar Conference, 8-11 May 1995, Alexandria, VA, USA, pp. 136-142.


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The algorithm described provides simultaneous availability of the state estimates corresponding to many orders of filters through the use of the fading memory (discounted) averages of the residuals of each lower order to obtain the estimates of a higher order. These averages are also used to provide maneuver parameters at different levels in order to obtain a gracefully changing hybrid combination of the filter estimates. Further, as the state estimate of a higher order filter is generally better than that of the lower order, particularly in respect of bias errors during and after a maneuver period, continual re-initialization of the lower order filters, using the higher order estimate, is effected through the use of the relevant maneuver parameter, enabling the filter to settle down faster towards the steady state conditions after a maneuver. The self-adaptive use of the the higher order estimates during maneuver thus provides a good smoothing under steady state conditions combined with rapid maneuver following with minimal bias errors, even in low data rate radar systems.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited: 05 Sep 2007
Last Modified: 19 Sep 2010 04:37
URI: http://eprints.iisc.ac.in/id/eprint/10897

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