ISBN: 9786209172038 - sea clutter suppression in high-frequency surface wave radar: based on neural network models (11 resultados)

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Taschenbuch. Condición: Neu. Sea Clutter Suppression in High-Frequency Surface Wave Radar | based on Neural Network Models | Shang Shang | Taschenbuch | Englisch | 2025 | Scholars' Press | EAN 9786209172038 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 232 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High-frequency surface wave radar (HFSWR), as a novel ocean observation radar, enables over-the-horizon, all-weather monitoring of the sea surface, unaffected by the Earth's curvature. Currently, HFSWR is widely applied in maritime target detection and ocean dynamic parameter measurement, playing a crucial role in both military and civilian domains. During operation, strong sea clutter often overwhelms target echoes, significantly affecting maritime target detection accuracy. Effective suppression of sea clutter is therefore key to improving detection performance. This study leverages the chaotic characteristics of sea clutter to establish a prediction model using radial basis function (RBF) neural networks. By predicting sea clutter and subtracting it from radar echoes in the time domain, effective clutter suppression is achieved. Intelligent optimization algorithms are introduced and improved to optimize the RBF network, enhancing prediction accuracy and further suppressing clutter.…

Paperback. Condición: new. Paperback. High-frequency surface wave radar (HFSWR), as a novel ocean observation radar, enables over-the-horizon, all-weather monitoring of the sea surface, unaffected by the Earth's curvature. Currently, HFSWR is widely applied in maritime target detection and ocean dynamic parameter measurement, playing a crucial role in both military and civilian domains. During operation, strong sea clutter often overwhelms target echoes, significantly affecting maritime target detection accuracy. Effective suppression of sea clutter is therefore key to improving detection performance. This study leverages the chaotic characteristics of sea clutter to establish a prediction model using radial basis function (RBF) neural networks. By predicting sea clutter and subtracting it from radar echoes in the time domain, effective clutter suppression is achieved. Intelligent optimization algorithms are introduced and improved to optimize the RBF network, enhancing prediction accuracy and further suppressing clutter. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -High-frequency surface wave radar (HFSWR), as a novel ocean observation radar, enables over-the-horizon, all-weather monitoring of the sea surface, unaffected by the Earth's curvature. Currently, HFSWR is widely applied in maritime target detection and ocean dynamic parameter measurement, playing a crucial role in both military and civilian domains. During operation, strong sea clutter often overwhelms target echoes, significantly affecting maritime target detection accuracy. Effective suppression of sea clutter is therefore key to improving detection performance. This study leverages the chaotic characteristics of sea clutter to establish a prediction model using radial basis function (RBF) neural networks. By predicting sea clutter and subtracting it from radar echoes in the time domain, effective clutter suppression is achieved. Intelligent optimization algorithms are introduced and improved to optimize the RBF network, enhancing prediction accuracy and further suppressing clutter.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 232 pp. Englisch.…

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.