Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
| Paper: | SS-9.5 |
| Session: | Advances in Signal Processing for Positioning, Tracking, and Navigation |
| Time: | Thursday, May 20, 16:50 - 17:10 |
| Presentation: |
Special Session Lecture |
| Topic: |
Special Sessions: Advances in signal processing for positioning, tracking, and navigation |
| Title: |
SEQUENTIAL ACOUSTIC ENERGY BASED SOURCE LOCALIZATION USING PARTICLE FILTER IN A DISTRIBUTED SENSOR NETWORK |
| Authors: |
Xiaohong Sheng; University of Wisconsin-Madison | | |
| | Yu-Hen Hu; University of Wisconsin-Madison | | |
| Abstract: |
A sequential particle filter source localization method is presented to estimate and track multiple-target locations. This method is designed to make use of acoustic signal energy measured at multiple acoustic sensors randomly deployed in a wireless distributed sensor network. By using the particle filter, non-Gaussian probability density function of the target locations are represented by a discrete set of ''particles''. The positions of these particles are propagated sequentially using known state transition equation, and updated using new location estimates via the observation equation. Compared to a previously proposed Maximum Likelihood source localization algorithm, this new approach is computationally effective and more robust to parameter perturbation. |
| |
| Back | |