Distributed target tracking under communication constraints

In distributed tracking, communication bandwidth is one of the most expensive resources when we require to send measurements to other locations for processing. Furthermore, bandwidth requirement increases when tracking in clutter is considered due to transmission of target as well as clutter measure...

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Bibliographic Details
Published in2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 4035 - 4039
Main Authors Raza, Muhammad A., Morelande, Mark R., Evans, Robin J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
Subjects
Bandwidth
Clutter
Communication constraints
Compression
Distributed Tracking
Mathematical model
Sensors
Target tracking
Time measurement
Weight measurement
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Summary:In distributed tracking, communication bandwidth is one of the most expensive resources when we require to send measurements to other locations for processing. Furthermore, bandwidth requirement increases when tracking in clutter is considered due to transmission of target as well as clutter measurements. This paper describes the tracking in clutter under bandwidth constraints. The main idea is that instead of sending all target and clutter measurements we combine them into a weighted sum and transmit the resultant measurement. A novel Bayesian filter is proposed utilising the received measurement information. We observe some loss of performance as compared to local tracker, however it is considerably small.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2015.7178729