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conference paper not in proceedings
On low-power analog implementations of particle filters for target tracking
2006
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.
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ON LOW-POWER ANALOG IMPLEMENTATION OF PARTICLE FILTERS FOR.pdf
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openaccess
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161.8 KB
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