Results 151 to 160 of about 645 (179)
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Non-stationary interference cancellation in HF surface wave radar
2003 Proceedings of the International Conference on Radar (IEEE Cat. No.03EX695), 2004High frequency (HF) interference in surface wave over-the-horizon (OTH) radars typically exhibits a time-varying or non-stationary spatial structure. Adaptive beamformers that update the spatial filtering weight vector within the coherent processing interval (CPI) are likely to suppress such interference most effectively, but the intra-CPI antenna ...
G.A. Fabrizio +2 more
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HF surface wave radar management techniques applied to surface craft detection
Record of the IEEE 2000 International Radar Conference [Cat. No. 00CH37037], 2002HF radar is a unique land or ship based sensor which provides over the horizon (OTH) target detection. In the absence of microwave ducting, which is not a reliable environmental feature, HF radar operating in the 3-30 MHz band offers the primary method of obtaining target returns from beyond the conventional radar horizon.
D.G. Money +4 more
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The choice of operating frequency in HF surface wave radar design
Ninth International Conference on HF Radio Systems and Techniques, 2003Radars operating in the HF band (3-30 MHz) are primarily of interest because of their ability to provide an over-the-horizon (OTH) surveillance capability. There are two types of such OTH radars - skywave (typically capable of detecting. targets at ranges of thousands of kilometres) and surface wave (typical detection ranges of hundreds of kilometres).
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Ionospheric Decontamination for HF Hybrid Sky-Surface Wave Radar on a Shipborne Platform
IEEE Geoscience and Remote Sensing Letters, 2017This letter describes a method of correcting ionospheric frequency modulation for a high-frequency hybrid sky-surface wave radar mounted on a shipborne platform. In the proposed method, azimuth-dependent sea clutter signals are first decomposed into monocomponent signals based on distinguishable differences in their directions of incidence.
Yongpeng Zhu, Yinsheng Wei, Lei Yu 0011
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Knowledge-based ship tracking applied to HF surface wave radar data
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015In recent years, low-power high-frequency surface-wave radars have received significant attention thanks to their over-the-horizon coverage capability and the continuous-time operation mode. These radars have become effective long-range early-warning tools for maritime situational awareness applications.
Gemine Vivone +2 more
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Comparisons of different HF ocean surface-wave radar technologies
2015 IEEE/OES Eleveth Current, Waves and Turbulence Measurement (CWTM), 2015The HF ocean radar industry offers two main genres of the technology which have some characteristics in common, but which are technically sufficiently different that the customer has a real choice. The crossed loop genre has small antenna footprints, and with the 180° panoramic view can be daisychained to good economic advantage.
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Statistical analysis of data measured by the HF surface wave radar WERA
2009Surface wave (SW) over the horizon (OTH) radars have been widely used for remote sensing and oceanic applications. These systems operate continuously for monitoring both sea currents and waves by analyzing the signal backscattered by the rough sea surface.
GRECO, MARIA +4 more
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On Ionospheric Clutter in SurfaceWave HF Radars
Telecommunications and Radio Engineering, 1998Ivan S. Turgenev, Stanislav I. Khomenko
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Multiple oceanographic HF surface-wave radars applied to maritime surveillance.
2014In the context of maritime surveillance, low-power high-frequency surface-wave (HFSW) radars are attracting significant attention as cost-effective tools for long-range ship detection and tracking applications. In this paper, multi-target tracking and data fusion techniques are applied to live-recorded data from a network of three oceanographic HFSW ...
Maresca, Salvatore +3 more
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Retrieval of Sea Surface Currents and Directional Wave Spectra by 24 GHz FMCW MIMO Radar
IEEE Transactions on Geoscience and Remote Sensing, 2023Giovanni Ludeno +2 more
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