Performance evaluation of a multiple-hypothesis multi-target tracking algorithm
- 1 January 1990
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 2258-2263 vol.4
- https://doi.org/10.1109/cdc.1990.204026
Abstract
This study is concerned with the performance evaluation of multiple-hypothesis, multi-target tracking algorithms. Target-detection/track-initiation capabilities as measures of performance were investigated. Through Monte Carlo simulations, a multiple-hypothesis tracking algorithm was evaluated in terms of: probability of establishing a track from target returns; and false track density. A radar was chosen as the sensor, and a general-purpose multiple-hypothesis, multitarget tracking algorithm, called generalized tracker/classifier, was used in the Monte Carlo simulations.<>Keywords
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