Output details
11 - Computer Science and Informatics
Lancaster University
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Output 0 of 0 in the submission
Article title
Group object structure and state estimation with evolving networks and Monte Carlo methods.
Type
D - Journal article
Title of journal
IEEE Transactions on Signal Processing
Article number
-
Volume number
59
Issue number
4
First page of article
1383
ISSN of journal
1053-587X
Year of publication
2011
Number of additional authors
4
Additional information
<13> Introduces novel techniques using evolving random graphs and sequential Monte Carlo methods for solving the motion estimation of groups of targets. The techniques are evaluated on real ground moving target indicator radar data provided by QinetiQ as part of and EPSRC and MoD projects, demonstrating significance of the work for practical application. In collaboration with QinetiQ and Cambridge University, the work led to further international collaboration in the Marie Curie ITN IMPULSE and EU COST action TU0702. Published in IEEE TSP, the leading journal in the field of signal processing (IF: 2.628).
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
11
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
