On low-power analog implementations 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 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.


Presented at:
European Conference on Signal Processing (EUSIPCO), Florence, Italy, September, 2006
Year:
2006
Laboratories:




 Record created 2010-09-07, last modified 2018-03-17

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