Paper
22 October 1993 Controlling an ever-expanding tree: towards a practical version of the multiple hypothesis filter
Emmanuel Cassassolles, Bernard Tomasini, Gerard Favier
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Abstract
This paper deals with global track initiation problem and our purpose is to apply a quite efficient method canned the Multiple Hypothesis Filter to solve it. This original measurement- oriented approach in its optimal version leads to an ever-expanding tree and to a computational problem so that some reduction procedures have to be applied. We first present a state-of-the- art of methods that propose solutions to the hypothesis control problem. Then, we introduce a new criterion in order to control pruning action and avoid losing important information.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emmanuel Cassassolles, Bernard Tomasini, and Gerard Favier "Controlling an ever-expanding tree: towards a practical version of the multiple hypothesis filter", Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); https://doi.org/10.1117/12.157790
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Target detection

Evolutionary algorithms

Filtering (signal processing)

Time metrology

Statistical analysis

Data processing

Error analysis

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