Low power High Frequency Surface Wave Radar application for ship detection and tracking

Dzvonkovskaya, Anna; Gurgel, Klaus-Werner; Rohling, Hermann; Schlick, T.

doi:10.1109/radar.2008.4653998

Cited by 84 publications

(46 citation statements)

References 7 publications

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“…Other products that can be obtained by means of advanced signal processing include: winds (Heron and Rose, 1986;Shen et al, 2012), and tsunami (Lipa et al, 2006;Gurgel et al, 2011;Grilli et al, 2015). In addition, several works have proven the potential use of HFRs for ship detection (Ponsford et al, 2001;Dzvonkovskaya et al, 2008) and tracking (Maresca et al, 2014). An example of ship detection using HFR is provided in Figure 4.…”

Section: Basic Principles Of Hfr Operation and Data Specificationsmentioning

confidence: 99%

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

et al. 2017

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High Frequency Radar (HFR) is a land-based remote sensing instrument offering a unique insight to coastal ocean variability, by providing synoptic, high frequency and high resolution data at the ocean atmosphere interface. HFRs have become invaluable tools in the field of operational oceanography for measuring surface currents, waves and winds, with direct applications in different sectors and an unprecedented potential for the integrated management of the coastal zone. In Europe, the number of HFR networks has been showing a significant growth over the past 10 years, with over 50 HFRs currently deployed and a number in the planning stage. There is also a growing literature concerning the use of this technology in research and operational oceanography. A big effort is made in Europe toward a coordinated development of coastal HFR technology and its products within the framework of different European and international initiatives. One recent initiative has been to make an up-to-date inventory of the existing HFR operational systems in Europe, describing the characteristics of the systems, their operational products and applications. This paper offers a comprehensive review on the present status of European HFR network, and discusses the next steps toward the integration of HFR platforms as operational components of the European Ocean Observing System, designed to align and integrate Europe's ocean observing capacity for a truly integrated end-to-end observing system for the European coasts.

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Section: Basic Principles Of Hfr Operation and Data Specificationsmentioning

confidence: 99%

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

et al. 2017

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“…Although the HF radar network was set up for the retrieval of oceanographic parameters, leading to a limited resolution and detection performance, ship detection can be performed at each HF radar station every 33 s (Dzvonkovskaya et al, 2008). Tracking and fusion are performed as a post-processing task utilising state-of-the-art algorithms (Bruno et al, 2013;Maresca et al, 2014;Vivone et al, 2015).…”

Section: High-frequency Radar Systemmentioning

confidence: 99%

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

et al. 2017

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Abstract. The Coastal Observing System for Northern and Arctic Seas (COSYNA) was established in order to better understand the complex interdisciplinary processes of northern seas and the Arctic coasts in a changing environment. Particular focus is given to the German Bight in the North Sea as a prime example of a heavily used coastal area, and Svalbard as an example of an Arctic coast that is under strong pressure due to global change.The COSYNA automated observing and modelling system is designed to monitor real-time conditions and provide short-term forecasts, data, and data products to help assess the impact of anthropogenically induced change. Observations are carried out by combining satellite and radar remote sensing with various in situ platforms. Novel sensors, instruments, and algorithms are developed to further improve the understanding of the interdisciplinary interactions between physics, biogeochemistry, and the ecology of coastal seas. New modelling and data assimilation techniques are used to integrate observations and models in a quasi-operational system providing descriptions and forecasts of key hydrographic variables.

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“…Dzvonkovskaya et al 2008). In order to test ship tracking, the WERA radar was operated in a continuous mode.…”

Section: Superposition Of Tsunami-induced Surface Currents On Measurementioning

confidence: 99%

Simulation and detection of tsunami signatures in ocean surface currents measured by HF radar

et al. 2011

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High-frequency (HF) surface wave radars provide the unique capability to continuously monitor the coastal environment far beyond the range of conventional microwave radars. Bragg-resonant backscattering by ocean waves with half the electromagnetic radar wavelength allows ocean surface currents to be measured at distances up to 200 km. When a tsunami propagates from the deep ocean to shallow water, a specific ocean current signature is generated throughout the water column. Due to the long range of an HF radar, it is possible to detect this current signature at the shelf edge. When the shelf edge is about 100 km in Responsible Editor: Aida Alvera-Azcárate This article is part of the Topical Collection on Multiparametric observation and analysis of the Sea.front of the coastline, the radar can detect the tsunami about 45 min before it hits the coast, leaving enough time to issue an early warning. As up to now no HF radar measurements of an approaching tsunami exist, a simulation study has been done to fix parameters like the required spatial resolution or the maximum coherent integration time allowed. The simulation involves several steps, starting with the Hamburg Shelf Ocean Model (HAMSOM) which is used to estimate the tsunami-induced current velocity at 1 km spatial resolution and 1 s time step. This ocean current signal is then superimposed to modelled and measured HF radar backscatter signals using a new modulation technique. After applying conventional HF radar signal processing techniques, the surface current maps contain the rapidly changing tsunami-induced current features, which can be compared to the HAMSOM data. The specific radial tsunami current signatures can clearly be observed in these maps, if appropriate spatial and temporal resolution is used. Based on the entropy of the ocean current maps, a tsunami detection algorithm is described which can be used to issue an automated tsunami warning message.

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Low power High Frequency Surface Wave Radar application for ship detection and tracking

Cited by 84 publications

References 7 publications

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

Simulation and detection of tsunami signatures in ocean surface currents measured by HF radar

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