On low-power analog implementation of particle filters for target tracking

We propose a low-power, analog and mixed-mode, implementation of particle filters. Low-power analog implementation of nonlinear functions such as exponential and arctangent functions is done using multiple-input translinear element (MITE) networks. These nonlinear functions are used to calculate the...

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Published in2006 14th European Signal Processing Conference pp. 1 - 5
Main Authors Velmurugan, Rajbabu, Subramanian, Shyam, Cevher, Volkan, Abramson, David, Odame, Kofi M., Gray, Jordan D., Haw-Jing Lo, McClellan, James H., Anderson, David V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2006
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Clocks
Sensors
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Summary:We propose a low-power, analog and mixed-mode, implementation of particle filters. Low-power analog implementation of nonlinear functions such as exponential and arctangent functions is done using multiple-input translinear element (MITE) networks. These nonlinear functions are used to calculate the probability densities in the particle filter. A bearings-only tracking problem is simulated to present the proposed low-power implementation of the particle filter algorithm.
ISSN:2219-5491
2219-5491