Tracking Multiple Marine Ships via Multiple Sensors with Unknown Backgrounds
1
School of Electrical Engineering, Computing, and Mathematical Sciences, Curtin University, Bentley, WA 6102, Australia
2
School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
†
Current address: ThaiNguyen University of Technology, ThaiNguyen University, ThaiNguyen 251810, Vietnam.
Sensors 2019, 19(22), 5025; https://doi.org/10.3390/s19225025
Received: 23 September 2019
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Revised: 15 November 2019
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Accepted: 15 November 2019
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Published: 18 November 2019
(This article belongs to the Special Issue Innovative Target Tracking Techniques for Modern Radar and Sonar Systems)
In multitarget tracking, knowledge of the backgrounds plays a crucial role in the accuracy of the tracker. Clutter and detection probability are the two essential background parameters which are usually assumed to be known constants although they are, in fact, unknown and time varying. Incorrect values of these parameters lead to a degraded or biased performance of the tracking algorithms. This paper proposes a method for online tracking multiple targets using multiple sensors which jointly adapts to the unknown clutter rate and the probability of detection. An effective filter is developed from parallel estimation of these parameters and then feeding them into the state-of-the-art generalized labeled multi-Bernoulli filter. Provided that the fluctuation of these unknown backgrounds is slowly-varying in comparison to the rate of measurement-update data, the validity of the proposed method is demonstrated via numerical study using multistatic Doppler data.
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Keywords:
random finite sets; unknown background; bootstrapping method; GLMB filter; multisensor multitarget tracking; Murty’s algorithm
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MDPI and ACS Style
Do, C.-T.; Nguyen, T.T.D.; Liu, W. Tracking Multiple Marine Ships via Multiple Sensors with Unknown Backgrounds. Sensors 2019, 19, 5025. https://doi.org/10.3390/s19225025
AMA Style
Do C-T, Nguyen TTD, Liu W. Tracking Multiple Marine Ships via Multiple Sensors with Unknown Backgrounds. Sensors. 2019; 19(22):5025. https://doi.org/10.3390/s19225025
Chicago/Turabian StyleDo, Cong-Thanh, Tran T.D. Nguyen, and Weifeng Liu. 2019. "Tracking Multiple Marine Ships via Multiple Sensors with Unknown Backgrounds" Sensors 19, no. 22: 5025. https://doi.org/10.3390/s19225025
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