Parallel Hardware for Sampling Based Nonlinear Filters in FPGAs
Particle filters are a class of sequential Monte-Carlo methods which are used commonly when estimating various unknowns of the time-varying signals presented in real time, especially when dealing with nonlinearity and non-Gaussianity in BOT applications. This thesis work is designed to perform one s...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Elektroniksystem
2014
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112926 |