Maritime Over the Horizon Sensor Integration: HFSWR Data Fusion Algorithm

In order to provide a constant and complete operational picture of the maritime situation in the Exclusive Economic Zone (EEZ) at over the horizon (OTH) distances, a network of high frequency surface-wave-radars (HFSWR) slowly becomes a necessity. Since each HFSWR in the network tracks all the targe...

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Published in:Remote sensing (Basel, Switzerland) Vol. 11; no. 7; p. 852
Main Authors: Nikolic, Dejan, Stojkovic, Nikola, Popovic, Zdravko, Tosic, Nikola, Lekic, Nikola, Stankovic, Zoran, Doncov, Nebojsa
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.04.2019
Subjects:
AIS
Algorithms
data fusion
Data integration
Data transmission
HFSW radar
Horizon
Kalman filters
marine systems
Multiple target tracking
Multisensor fusion
OTH radar
Radar
radar tracking
Random variables
Remote sensing
Satellites
Sensors
Surveillance
Target detection
Traffic control
Working conditions
Serbia
Gulf of Guinea
ISSN:2072-4292, 2072-4292
Online Access:Get full text
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Summary:In order to provide a constant and complete operational picture of the maritime situation in the Exclusive Economic Zone (EEZ) at over the horizon (OTH) distances, a network of high frequency surface-wave-radars (HFSWR) slowly becomes a necessity. Since each HFSWR in the network tracks all the targets it detects independently of other radars in the network, there will be situations where multiple tracks are formed for a single vessel. The algorithm proposed in this paper utilizes radar tracks obtained from individual HFSWRs which are already processed by the multi-target tracking algorithm at the single radar level, and fuses them into a unique data stream. In this way, the data obtained from multiple HFSWRs originating from the very same target are weighted and combined into a single track. Moreover, the weighting approach significantly reduces inaccuracy. The algorithm is designed, implemented, and tested in a real working environment. The testing environment is located in the Gulf of Guinea and includes a network of two HFSWRs. In order to validate the algorithm outputs, the position of the vessels was calculated by the algorithm and compared with the positions obtained from several coastal sites, with LAIS receivers and SAIS data provided by a SAIS provider.
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ISSN:2072-4292
2072-4292
DOI:10.3390/rs11070852