Next Article in Journal
A Double Dwell High Sensitivity GPS Acquisition Scheme Using Binarized Convolution Neural Network
Next Article in Special Issue
Coalition Formation Based Compressive Sensing in Wireless Sensor Networks
Previous Article in Journal
Distributed Power Allocation for Wireless Sensor Network Localization: A Potential Game Approach
Previous Article in Special Issue
An Embodied Multi-Sensor Fusion Approach to Visual Motion Estimation Using Unsupervised Deep Networks
Open AccessArticle

Robust Target Tracking with Multi-Static Sensors under Insufficient TDOA Information

1
Department of Electrical Engineering, Korea University, Seoul 02841, Korea
2
Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA 22030, USA
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(5), 1481; https://doi.org/10.3390/s18051481
Received: 23 March 2018 / Revised: 27 April 2018 / Accepted: 28 April 2018 / Published: 8 May 2018
This paper focuses on underwater target tracking based on a multi-static sonar network composed of passive sonobuoys and an active ping. In the multi-static sonar network, the location of the target can be estimated using TDOA (Time Difference of Arrival) measurements. However, since the sensor network may obtain insufficient and inaccurate TDOA measurements due to ambient noise and other harsh underwater conditions, target tracking performance can be significantly degraded. We propose a robust target tracking algorithm designed to operate in such a scenario. First, track management with track splitting is applied to reduce performance degradation caused by insufficient measurements. Second, a target location is estimated by a fusion of multiple TDOA measurements using a Gaussian Mixture Model (GMM). In addition, the target trajectory is refined by conducting a stack-based data association method based on multiple-frames measurements in order to more accurately estimate target trajectory. The effectiveness of the proposed method is verified through simulations. View Full-Text
Keywords: multi-static sonar; sonar tracking; sonar applications; MHT; tree-search algorithms multi-static sonar; sonar tracking; sonar applications; MHT; tree-search algorithms
Show Figures

Figure 1

MDPI and ACS Style

Shin, H.; Ku, B.; Nelson, J.K.; Ko, H. Robust Target Tracking with Multi-Static Sensors under Insufficient TDOA Information. Sensors 2018, 18, 1481.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop