Name
Abstract | ||
|---|---|---|
A UWB multistatic radar system, typically composed of one transmitter and several receivers, is a promising solution for tracking an intruder moving within a given surveillance area, because of its extraordinary localization accuracy and very low probability of intercept. In this paper, a tracking algorithm based on particle filtering for UWB multistatic impulse radio radars is proposed, considering the specific multistatic radar setting, UWB signals properties, and complexity constraints. The performance of the proposed approach is evaluated through numerical results accounting for the spatial configuration of the receivers, propagation effects, the presence of residual clutter, power constraints imposed to UWB transmitted signals, and noise. Results show that the proposed tracking algorithm based on particle filters provides high estimation accuracy compared to conventional Kalman filtering, even at a low signal-to-noise ratio, with a reasonable complexity. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCW.2013.6649199 | Communications Workshops |
Keywords | Field | DocType |
Bayes methods,particle filtering (numerical methods),radar clutter,radar receivers,radar tracking,radar transmitters,ultra wideband communication,ultra wideband radar,Bayesian tracking,UWB multistatic impulse radio radars,UWB multistatic radar system,UWB radar sensor networks,UWB signals properties,UWB transmitted noise,UWB transmitted signals,complexity constraints,estimation accuracy,extraordinary localization accuracy,multistatic radar setting,particle filtering,propagation effects,receivers,residual clutter,surveillance area,transmitter | Radar engineering details,Radar,Multistatic radar,Radar tracker,Computer science,Real-time computing,Bistatic radar,Low probability of intercept radar,3D radar,Passive radar | Conference |
ISSN | Citations | PageRank |
2164-7038 | 1 | 0.43 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sobhani, B. | 1 | 13 | 1.31 |
| Paolini, E. | 2 | 39 | 3.34 |
| Giorgetti, A. | 3 | 13 | 1.83 |
| Mazzotti, M. | 4 | 1 | 0.43 |