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Multitarget filtering with linearized complexity
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Houssineau, Jeremie and Clark, Daniel E. (2018) Multitarget filtering with linearized complexity. IEEE Transactions on Signal Processing, 66 (18). pp. 4957-4970. doi:10.1109/TSP.2018.2863672 ISSN 1053-587X.
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Official URL: http://dx.doi.org/10.1109/TSP.2018.2863672
Abstract
An algorithm for the estimation of multiple targets from partial and corrupted observations is introduced based on the concept of a partially distinguishable multitarget system. It combines the advantages of engineering solutions like multiple hypothesis tracking with the rigor of point-process-based methods. It is demonstrated that under intuitive assumptions and approximations, the complexity of the proposed multitarget estimation algorithm can be made linear in terms of the number of tracks and the number of observations, while naturally preserving distinct tracks for detected targets, unlike point-process-based methods.
Item Type: | Journal Article | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||
Journal or Publication Title: | IEEE Transactions on Signal Processing | ||||||
Publisher: | IEEE Computer Society | ||||||
ISSN: | 1053-587X | ||||||
Official Date: | 15 September 2018 | ||||||
Dates: |
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Volume: | 66 | ||||||
Number: | 18 | ||||||
Page Range: | pp. 4957-4970 | ||||||
DOI: | 10.1109/TSP.2018.2863672 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access |
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