Abstract

Ship tracking facilitates a comprehensive insight into maritime traffic situations and ensures its safety and security. However, with the current operational surveillance systems, detecting several maritime threats is still a major challenge. In this article, we propose a supportive ship tracking concept using an airborne-based radar sensor. The proposed tracking algorithm is suitable for dense multitarget scenarios. Tracking is performed in the range-Doppler domain. The primary advantage of using the range-Doppler domain is that ships even with low radar cross section moving with certain line-of-sight velocity appear out of the clutter region, thus improving their detectability. In addition, a powerful track management system is also developed to handle false targets. The simulated and real experimental results from the DLR’s airborne radar sensors, F-SAR and DBFSAR, are presented to prove the concept.

Highlights

  • M ARITIME transport is considered as the backbone of international trade and the world economy

  • State-of-the-art sensors that are used for maritime traffic situational awareness are the automatic identification system (AIS) [2] and marine radars [3]–[5]

  • A two-day F-synthetic aperture radar (SAR) flight campaign was conducted in June 2016 in the North Sea

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Summary

INTRODUCTION

M ARITIME transport is considered as the backbone of international trade and the world economy. The available algorithms for such platforms were originally designed for tracking road vehicles [15] They use low range-resolution data where the vehicles of interest, in most cases, occupy not more than a single resolution cell. The target tracks in the range-Doppler domain are needed for the following. This article proposes a novel range-Doppler-based tracking algorithm for tracking multiple extended targets using RC airborne radar data. To validate the proposed range-Doppler-based tracking algorithm, the simulated and real linearly and circularly acquired experimental data from DLR’s (German Aerospace Center) airborne F-SAR [21] and DBFSAR [22] system are presented.

EXPERIMENTAL AIRBORNE RADAR DATA
DETECTION AND CLUSTERING
TRACKING IN RANGE-DOPPLER
Database Structure
State and Measurement Model
Kalman Filter
Initialization of the Kalman Filter Matrices
Maximum Manageable Gap as Motion Model Performance Measure
Relation Generation Using Database
TRACK MANAGEMENT
DOPPLER ALIASING
Simulation Results
Geocoding Results Using Multichannel Data
Findings
VIII. CONCLUSION
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