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
Promotions
|
| LSN: |
1-288-36924-7 |
| Barcode: |
9781288369249 |
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