Abstract
Brazil has an extensive coastline and Exclusive Economic Zone (EEZ) area, which are of high economic and strategic importance. A Maritime Surveillance System becomes necessary to provide information and data to proper authorities, and target tracking is crucial. This paper focuses on a multitarget tracking application to a large-scale maritime surveillance system. The system is composed of a sensor network distributed over an area of interest. Due to the limited computational capabilities of nodes, the sensors send their tracking data to a central station, which is responsible for gathering and processing information obtained by the distributed components. The local Multitarget Tracking (MTT) algorithm employs a random finite set approach, which adopts a Gaussian mixture Probability Hypothesis Density (PHD) filter. The proposed data fusion scheme, utilized in the central station, consists of an additional step of prune & merge to the original GM PHD filter algorithm, which is the main contribution of this work. Through simulations, this study illustrates the performance of the proposed algorithm with a network composed of two stationary sensors providing the data. This solution yields a better tracking performance when compared to individual trackers, which is attested by the Optimal Subpattern Assignment (OSPA) metric and its location and cardinality components. The presented results illustrate the overall performance improvement attained by the proposed solution. Moreover, they also stress the need to resort to a distributed sensor network to tackle real problems related to extended targets.
Highlights
In 2015, the Brazilian Navy presented the strategic program, so-called the ManagementSystem of Amazônia Azul (SisGAAz)
This manuscript deals with the application of the Gaussian Mixture (GM) Probability Hypothesis Density (PHD) algorithm in a distributed sensor network, which can be: Radars or cameras installed along the coast or area of interest; radars on patrol or larger ships; and sensors installed in smaller boats
To illustrate the performance achieved, the simulated tracking system uses only one radar, whose FoV is represented by the region delimited by red lines
Summary
In 2015, the Brazilian Navy presented the strategic program, so-called the Management. The proposed solution was the first parallel implementation of the PPTS method, which employed three Gamma models, where two of them exploited the resources of a parallel hardware environment (using MPI protocol and GPU) This manuscript deals with the application of the GM PHD algorithm in a distributed sensor network, which can be: Radars or cameras installed along the coast or area of interest; radars on patrol or larger ships; and sensors installed in smaller boats. The paper is organized as follows: Section 2 presents related works; Section 3 defines the MTT problem, presents the mathematical framework for RFS-based MTT, and presents the PHD filter definition; Section 4 illustrates a distributed network tracking system application, describes methods, presents the simulated scenarios and modeling, and analyzes the results; and Section 5 exposes the conclusions
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
