Particle filter design using importance sampling for environments
Sequential Monte Carlo methods have been recently proposed to deal with the problem of acoustic source localisation and tracking using an array of microphones. Previous implementations make use of the basic bootstrap particle filter, whereas a more general approach involves the concept of importance sampling. In this paper, we develop a new particle filter for acoustic source localisation using importance sampling, and compare its tracking ability with that of a bootstrap algorithm proposed...[Show more]
|Collections||ANU Research Publications|
|Source:||EURASIP Journal on Advances in Signal Processing|
|01_Lehmann_Particle_filter_design_using_2006.pdf||651.39 kB||Adobe PDF|
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