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Könyv 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

Szerző: Dr Brian D Smith
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Biblioscholar
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
8 875 Ft
In recent years, the Multiple Hypothesis Tracker has gained acceptance as means of handling targets...

Információk a könyvről

Szerző
Dr Brian D Smith
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2012
oldal
316
EAN
9781288369249
ISBN
9781288369249
Enbook ID
08247093
Kiadó
Biblioscholar
Súly
567
Méretek
189 x 246 x 17

Teljes leírás

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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