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Cooperative-PHD Tracking Based on Distributed Sensors for Naval Surveillance Area.

Kleberson Meireles de Lima¹, Ramon Romankevicius Costa¹

¹PEE/COPPE-Department of Electrical Engineering, Federal University of Rio de Janeiro, Cidade Universitária, Centro de Tecnologia, Bloco H, Rio de Janeiro 21941-972, RJ, Brazil.

Sensors (Basel, Switzerland)

|February 15, 2022

Summary

A new maritime surveillance system improves target tracking using a distributed sensor network and a novel data fusion method. This approach enhances tracking accuracy for Brazil

Keywords:

PHD filter surveillance systems tracking

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Area of Science:

Maritime Surveillance
Sensor Networks
Target Tracking

Background:

Brazil's extensive coastline and Exclusive Economic Zone (EEZ) necessitate robust maritime surveillance.
Effective target tracking is crucial for maritime security and resource management.

Purpose of the Study:

To develop and evaluate a multitarget tracking (MTT) algorithm for a large-scale maritime surveillance system.
To enhance data fusion capabilities in a central station using a distributed sensor network.

Main Methods:

Implementation of a multitarget tracking (MTT) algorithm based on the random finite set approach and Gaussian mixture Probability Hypothesis Density (PHD) filter.
Development of a novel data fusion scheme incorporating a prune & merge step to the GM PHD filter.
Simulation using a network of two stationary sensors.

Main Results:

The proposed data fusion scheme significantly improves tracking performance compared to individual trackers.
Performance gains are validated using the Optimal Subpattern Assignment (OSPA) metric, including its location and cardinality components.
The study demonstrates the effectiveness of distributed sensor networks for complex maritime surveillance challenges.

Conclusions:

The enhanced GM PHD filter with prune & merge offers superior multitarget tracking performance in maritime surveillance.
Distributed sensor networks are essential for addressing real-world maritime surveillance problems, especially for extended targets.
The proposed system provides valuable data for authorities managing Brazil's EEZ.