Estimation of Heavy-Tailed Clutter Density using Adaptive RBF Network (CROSBI ID 641461)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vondra, Bojan ; Bonefačić, Davor
engleski
Estimation of Heavy-Tailed Clutter Density using Adaptive RBF Network
In this paper, a method for estimating clutter density using radial basis function (RBF) network is described. Clutter density is important parameter for data association techniques in single and multitarget scenarios. K-distribution is widely accepted model of heavy-tailed sea lutter, however, estimating its parameters using traditional method of moments MM) or maximum ikelihood (ML) approach require computationally ntense task. Instead of this, a non-parametric pproach is used (density is directly estimated, ased on samples in validation volume of tracked target). During tracking process, returns from target and clutter are clustered using Linde, Buzo and Gray (LBG) algorithm, with fixed number of clusters and minimum distance criterion. Based on representative kernel of each cluster, density is constructed and integrated in Viterbi data association filter that also provides a track quality output. Since densities based under target-present and clutter-present hypothesis are available, corresponding likelihood ratios can be used to further discriminate target from clutter and thus enhance tracking process. Although the method for estimating clutter density is described using single target scenario, it is applicable to multitarget case e.g. using multihypothesis Viterbi filter.
Radial Basis Functions; K-distribution; Viterbi algorithm;
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Podaci o prilogu
s_12_3 (1)-s_12_3 (6).
2016.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 22nd International Conference on Applied Electromagnetics and Communications (ICECom 2016)
Bonefačić, Davor ; Šipuš, Zvonimir
Zagreb: Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA)
978-953-6037-72-8
Podaci o skupu
22nd International Conference on Applied Electromagnetics and Communications (ICECom 2016)
predavanje
19.09.2016-21.09.2016
Dubrovnik, Hrvatska