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

Content Provider	IET Digital Library
Author	Bae, Seung Hwan Park, Jongyoul Yoon, Kuk Jin
Abstract	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.
Starting Page	539
Ending Page	549
Page Count	11
ISSN	17518784
Volume Number	11
e-ISSN	17518792
Issue Number	Issue 3, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/11/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2016.0416
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-10-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Amplitude Information Cluttered Environment Data Association Doppler Velocity Dynamic State Joint Estimation Maximum A Posteriori Approach Maximum Likelihood Estimation MTT Multitarget Signal-to-noise Ratio Multitarget Tracking Radar Radar Clutter Radar Equipment Radar Theory Radar Tracking SNR Estimation Algorithm Sonar Sonar Tracking Spatial Information Statistics System And Application Target Tracking Track State Update
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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