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
Väzba: Brožovaná
Vydavateľ: Biblioscholar
Dostupnosť: Skladom u dodávateľa
Odosielame za 14-21 dní
22.16
In recent years, the Multiple Hypothesis Tracker has gained acceptance as means of handling targets...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2012
Stránok
316
EAN
9781288369249
ISBN
9781288369249
Enbook ID
08247093
Vydavateľ
Hmotnosť
567
Rozmery
189 x 246 x 17

Kompletný 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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