Abstract
In this paper complexity reduction of particle filters and their performance due to finite precision effects are investigated. A method for dynamic range scaling of importance weights is proposed as well as ways for its integration with computation of the weights. Functions are approximated in a way to mitigate dynamic range scaling problems. To reduce complexity, redundant operations of particle filters are identified and particle filters are correspondingly modified. We consider the sample importance resampling (SIR) method of particle filtering applied to the bearings-only tracking problem.
| Original language | English |
|---|---|
| Pages (from-to) | 838-842 |
| Number of pages | 5 |
| Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Volume | 1 |
| State | Published - 2002 |
| Event | The Thirty-Sixth Asilomar Conference on Signals Systems and Computers - Pacific Groove, CA, United States Duration: Nov 3 2002 → Nov 6 2002 |
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