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Multiple Model Adaptive Estimator Target Tracker for Maneuvering Targets in Clutter (Paperback) Loot Price: R665
Discovery Miles 6 650
Multiple Model Adaptive Estimator Target Tracker for Maneuvering Targets in Clutter (Paperback): Brian D. Smith

Multiple Model Adaptive Estimator Target Tracker for Maneuvering Targets in Clutter (Paperback)

Brian D. Smith

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Loot Price R665 Discovery Miles 6 650 | Repayment Terms: R62 pm x 12*

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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.

General

Imprint: Biblioscholar
Country of origin: United States
Release date: November 2012
First published: November 2012
Authors: Brian D. Smith
Dimensions: 246 x 189 x 17mm (L x W x T)
Format: Paperback - Trade
Pages: 316
ISBN-13: 978-1-288-36924-9
Categories: Books > Social sciences > Education > General
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LSN: 1-288-36924-7
Barcode: 9781288369249

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