Kniha Multiple Model Adaptive Estimator Target Tracker for Maneuvering Targets in Clutter Dr Brian D Smith

Multiple Model Adaptive Estimator Target Tracker for Maneuvering Targets in Clutter

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Biblioscholar
Dostupnost: Skladem u dodavatele
Odesíláme za 14-21 dnů
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In recent years, the Multiple Hypothesis Tracker has gained acceptance as means of handling targets...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2012
Stránek
316
EAN
9781288369249
ISBN
9781288369249
Enbook ID
08247093
Vydavatel
Hmotnost
567
Rozměry
189 x 246 x 17

Kompletní popis

In recent years, the Multiple Hypothesis Tracker has gained acceptance as means of handling targets in ameasurement-clutter environment. MHT algorithms rely on Gaussian mixture representations of a target's current stateestimate, and the number of components within these mixtures grows exponentially with each successive sensor scan.Previous research into techniques that limit the growth of Gaussian mixture components proved that the Integral SquareError cost-function-based algorithm performs well in this role. Also, multiple-model adaptive algorithms have been shownto handle poorly-known target dynamics or targets that exhibit a large range of maneuverability over time with excellentresults.

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