Particle filtering for UWB radar applications

UWB has been well-known to be useful for localization and radar applications. The use of UWB signals can provide distance measurements with high accuracy, but a big challenge is caused by high attenuation and low signal-to-noise ratios as well as by stationary cluttering. The situation gets worse if...

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Bibliographic Details
Main Authors: Thiasiriphet, T., Lindner, J.
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Delay
Estimation
Filtering
IR-UWB
Particle filtering
Radar tracking
Target tracking
UWB radar
Vital sign detection
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Summary:UWB has been well-known to be useful for localization and radar applications. The use of UWB signals can provide distance measurements with high accuracy, but a big challenge is caused by high attenuation and low signal-to-noise ratios as well as by stationary cluttering. The situation gets worse if a moving object must be tracked as is given in vital sign detection, a problem which is the background for this contribution. We propose an algorithm based on particle filtering for coping with these problems. It includes a movement model. The results show significant improvements compared to more conventional algorithms.
ISSN:2162-6588
DOI:10.1109/ICUWB.2011.6058838