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Conference paper

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

Velmurugan, R.; Subramanian, S.; Cevher, Volkan; Abramson, D.; Odame, K. M.; Gray, J. D.; Lo, H. J.; McClellan, J. H.; Anderson, D. V.
  • Presented at: European Conference on Signal Processing (EUSIPCO), Florence, Italy, September, 2006
  • Publication date: 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.

Reference

  • EPFL-CONF-151449

Record created on 2010-09-07, modified on 2011-07-15

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