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|Scopus||Web of Science®||Altmetric|
|Title:||A Linear Complexity Approximate Method for Multi-Target Particle Filter Track Before Detect|
|Citation:||Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015, pp.23-28|
|Conference Name:||2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015) (23 Nov 2015 - 25 Nov 2015 : Adelaide, Australia)|
|Samuel J. Davey, and Brian Cheung|
|Abstract:||The particle filter offers the optimal Bayesian filter for track before detect with a single target. However, direct application to the case of multiple targets can be infeasible because the number of particles required grows exponentially. This paper presents a new method for efficiently implementing track before detect for multiple targets using particles. This method is compared with alternative options on a challenging scenario with up to 20 targets.|
|Keywords:||Target tracking; proposals; atmospheric measurements; particle measurements; niobium; estimation; probability density function|
|Rights:||© 2015 Crown|
|Appears in Collections:||Aurora harvest 3|
Electrical and Electronic Engineering publications
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