Joint estimation of multi-target signal-to-noise ratio and dynamic states in cluttered environment

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In this study, the authors consider a multi-target tracking (MTT) problem in a cluttered environment. Due to the difficulty of the problem, the methods relying only on spatial information such as range, bearing and Doppler velocity can be unreliable. To overcome this, they additionally exploit the amplitude information, commonly provided by radar and sonar, for MTT. However, the usage of amplitude information is not straightforward because the signal-to-noise ratio (SNR) should be known in advance or estimated at the same time. To this end, they first propose a novel SNR estimation algorithm based on a maximum a posteriori approach, which helps the tracker to exploit the amplitude information effectively. Based on the estimated SNR, they then propose a complete framework for MTT, which is mainly composed of data association and track state update parts. They extensively evaluate the proposed system in a series of challenging scenarios, and the experimental results verify the effectiveness and robustness of the authors' methods.
Publisher
INST ENGINEERING TECHNOLOGY-IET
Issue Date
2017-03
Language
English
Article Type
Article
Citation

IET RADAR SONAR AND NAVIGATION, v.11, no.3, pp.539 - 549

ISSN
1751-8784
DOI
10.1049/iet-rsn.2016.0416
URI
http://hdl.handle.net/10203/241467
Appears in Collection
ME-Journal Papers(저널논문)
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