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Transactions: WSEAS TRANSACTIONS ON COMPUTER RESEARCH
Transactions ID Number: 31-302
Full Name: Alex Palamides
Position: Researcher
Age: ON
Sex: Male
Address: University of Peloponnese, Department of Telecommunications Science and Technology
Country: GREECE
Tel: 6945028231
Tel prefix: +30
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E-mail address: palamid@uop.gr
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Title of the Paper: Highly manoeuvring target tracking in real time based on Sequential Monte Carlo methodology
Authors as they appear in the Paper: Alex Palamides
Email addresses of all the authors: palamid@uop.gr
Number of paper pages: 10
Abstract: In this paper we are concerned with the problem of estimating at real–time (on-line estimation) a highly manoeuvring target. More precisely we examine a two dimension bearings only tracking problem with a single stationary observer (e.g. a radar). This is a complex filtering problem. The solution we propose is based on the Sequential Monte Carlo methodology. Sequential Monte Carlo methodology (SMC) is a novel powerful way to deal with problems that can be expressed into a state space model. The main idea is to approximate the posterior distribution of interest (that contains all the information of the state space model) by a set of particles and weights. Up to now the Extended Kalman Filter (EKF) was the standard solution to this kind of problems. In order to demonstrate the performance of the SMC methodology we compare our SMC approach to the target tracking problem with a similar approach where the EKF is applied. The obtained results are very satisfactory.
Keywords: Target tracking, Bearings Only, Sequential Monte Carlo, Extended Kalman Filter
EXTENSION of the file: .doc
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