A method is developed for estimating track quality for a multiple-target tracking radar, such as an electronically scanned array radar or track-while-scan system. It is assumed that tracking error residuals and error variance estimates are available, as is the case when minimum-variance track filters are used. A normalized distance function is selected as the direct measure of a target's instantaneous track quality. It is smoothed using a recursive fading memory filter to provide an estimate of track quality. A statistical hypothesis test is then applied to the track quality estimates to determine when target tracks have achieved a specified quality for the given application. This procedure can be implemented for each target in track, and it uses only data already required by the return-to-track association algorithms used by many multiple-target tracking radars. In addition, the technique is applicable to both active and passive radar operation, and it can easily be extended to incorporate alternate or additional quality criteria.
Track quality estimation for multiple-target tracking radars
Abschaetzung der Trackqualitaet fuer Multifachziel-Tracking-Radar-Systeme
1989
4 Seiten, 4 Quellen
Aufsatz (Konferenz)
Englisch
Target tracking with a network of Doppler radars
IEEE | 1998
|Target Tracking with a Network of Doppler Radars
Online Contents | 1998
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