| 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. | ||
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