Title :
Fast computation of particle filters on processor arrays
Author :
Horvath, Andras ; Rasonyi, M.
Author_Institution :
Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
Abstract :
We have developed a new variant of the particle filter algorithm for estimating a signal from noisy observations. It suits ideally implementation on a cellular processor array. The error of the new algorithm is essentially the same as that of the old one but it runs much faster, especially when there is a large number of particles to be simulated.
Keywords :
Monte Carlo methods; microprocessor chips; parallel algorithms; particle filtering (numerical methods); cellular processor array; particle filters computation; signal estimation; Additive noise; Cellular networks; Mathematics; Parallel processing; Particle filters; Signal processing; Signal processing algorithms; State estimation; Stochastic processes; Testing;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-6679-5
DOI :
10.1109/CNNA.2010.5430293
