Multi-target track before detect with labeled random finite set and adaptive correlation filtering

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Multi-target track before detect with labeled random finite set and adaptive correlation filtering

© 2017 IEEE. In Track-Before-Detect (TBD), the aim is to jointly estimate the number of tracks and their states from low signal-to-noise ratio (SNR) images. This is a challenging problem due to the unknown and time varying number of targets as well as the nonlinearity and size of the image data. A g...

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Bibliographic Details
Main Author:	Kim, Du Yong
Format:	Conference Paper
Published:	2017
Online Access:	http://hdl.handle.net/20.500.11937/66559

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