A tractable forward–backward CPHD smoother
A tractable forward–backward CPHD smoother
To circumvent the intractability of the usual Cardinalized Probability Hypothesis Density (CPHD) smoother, we present an approximate scheme where the population of targets born until and after the starting time of the smoothing are estimated separately and where smoothing is only applied to the estimate of the former population. The approach is illustrated through the implementation of a tractable approximation of the usual CPHD smoother
201-217
Delande, Emmanuel D.
e17b3b32-0949-4914-801e-c9386bce39a5
Clark, Daniel E.
537f80e8-cbe6-41eb-b1d4-31af1f0e6393
Houssineau, Jérémie
54d4df9b-ceaa-456d-b668-63c617e6894a
1 February 2017
Delande, Emmanuel D.
e17b3b32-0949-4914-801e-c9386bce39a5
Clark, Daniel E.
537f80e8-cbe6-41eb-b1d4-31af1f0e6393
Houssineau, Jérémie
54d4df9b-ceaa-456d-b668-63c617e6894a
Delande, Emmanuel D., Clark, Daniel E. and Houssineau, Jérémie
(2017)
A tractable forward–backward CPHD smoother.
IEEE Transactions on Aerospace and Electronic Systems, 53 (1), .
(doi:10.1109/TAES.2017.2649978).
Abstract
To circumvent the intractability of the usual Cardinalized Probability Hypothesis Density (CPHD) smoother, we present an approximate scheme where the population of targets born until and after the starting time of the smoothing are estimated separately and where smoothing is only applied to the estimate of the former population. The approach is illustrated through the implementation of a tractable approximation of the usual CPHD smoother
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Published date: 1 February 2017
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Local EPrints ID: 474468
URI: http://eprints.soton.ac.uk/id/eprint/474468
PURE UUID: 81be540e-83b6-45c5-ac98-d83fc20aca2f
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Date deposited: 22 Feb 2023 21:08
Last modified: 16 Mar 2024 23:15
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Author:
Emmanuel D. Delande
Author:
Daniel E. Clark
Author:
Jérémie Houssineau
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