We have applied techniques, developed previously (1997), to samples of track measurements and have obtained decision rule that are asymptotically close to decision rule characteristics (probability of false objects generation is not greater than any given significance level, and possibility to omit existing objects decreases with increase of observation time). The recursive computation algorithm that implements the above decision rule is developed, and objects location estimates are also obtained at every time step.
Statistical approach to track-to-track association problem
1998-01-01
303592 byte
Conference paper
Electronic Resource
English
Statistical Approach to Track-to-Track Association Problem
British Library Conference Proceedings | 1998
|NTIS | 1983
|6.0304 Improving Track Continuity Using Track Segment Association
British Library Conference Proceedings | 2003
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