Multipath radar tracking with large uncertainty in the environment

We formulate the target tracking problem for radar in a multipath environment where significant uncertainty on the locations of the multipath causing obstacles (walls) is present. Most of the recent efforts towards investigating target tracking in multipath environments assume knowledge of these wal...

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Published in2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 4403 - 4407
Main Authors Karunaratne, Sachintha, Morelande, Mark R., Moran, Bill
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.03.2016
Subjects
Bayesian
Conferences
Electronics
Importance sampling
Monte Carlo methods
Multipath Radar
Radar tracking
Speech
Surveillance
Target tracking
Time measurement
Uncertainty
Walls
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Summary:We formulate the target tracking problem for radar in a multipath environment where significant uncertainty on the locations of the multipath causing obstacles (walls) is present. Most of the recent efforts towards investigating target tracking in multipath environments assume knowledge of these wall locations. Relaxing this assumption makes the tracking problem very challenging. We propose a statistical filter (tracker) and a data association method based on importance sampling to address these challenges.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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SourceType-Conference Papers & Proceedings-2
ISSN:2379-190X
DOI:10.1109/ICASSP.2016.7472509