Particle Filtering in High Clutter Environment

@inproceedings{Korhonen2005ParticleFI,
  title={Particle Filtering in High Clutter Environment},
  author={Teemu Korhonen and Pasi Pertil{\"a} and Ari Visa},
  year={2005}
}
This paper addresses the effect of clutter in direction of arrival (DOA) tracking from a passive acoustic sensor station. DOA signal is characterized by non-linearities arising from the measurement model. Strong dynamics combined with signal deterioration such as clutter can cause filters to diverge. A family of Monte Carlo methods known as particle filters has been used in variety of problems dealing with non-linear models and non-Gaussian distributions. In this paper a filter based on… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Particle Filtering

P. Djurić
IEEE Signal Processing Magazine, pp. 19 – 38, September 2003. • 2003
View 5 Excerpts
Highly Influenced

A tutorial on particle filters for on-line nonlinear/non-Gaussian Bayesian tracking

M. S. Arulampalam, S. Maskell, N. Gordon, T. Clapp
IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174 – 188, February 2002. • 2002
View 1 Excerpt

Performance and complexity analysis of adaptive particle filtering for tracking applications

Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002. • 2002
View 1 Excerpt

Similar Papers

Loading similar papers…