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A gaussian sum approach to the multi-target identification-tracking problem

✍ Scribed by D.L. Alspach

Publisher: Elsevier Science
Year: 1975
Tongue: English
Weight: 996 KB
Volume: 11
Category: Article
ISSN: 0005-1098
DOI: 10.1016/0005-1098(75)90044-8

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✦ Synopsis

In a multi-target, multbsensor environment it is desired to track each target, eliminate false tracks, classify each track into categories, estimate the present state, aml predict the future state or impact point of each target.

Summary--The joint problems of identification, tracking and prediction in a multi-target, multi-sensor environment are considered. Measurements giving information about the location of each target are to be processed in order to identify the type and to estimate the pre'~nt state of each target. There is no a priori information relating a given measurement to a particular target. Once a target is properly identified its impact point is to be predicted. The previously developed Gaussian sum approach is used. The a posteriori density of the state of the target giving rise to the latest measurement is derived and an inherently parallel implementation of the algorithm is indicated.

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