Novel detection schemes are developed using a coherent X-band radar for the detection of small pieces of icebergs. The methods use Wigner-Ville (WV) distribution to perform detection in a joint time-frequency space. Two separate methodologies are presented. The first method extracts classification features from the ambiguity function of the received signal and a neural network is used to perform detection based on these features. The second method uses the method of Principal Components Analysis (PCA) to extract essential information from the time-frequency space for classification. Using real radar data, results are presented and the developed methods are also compared to a conventional Doppler constant false-alarm rate (CFAR) processor.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Neural network-based radar detection for an ocean environment


    Weitere Titelangaben:

    Neuartige Radardetektion auf Neuronalnetzbasis für Ozean-Einsatz


    Beteiligte:
    Bhattacharya, T.K. (Autor:in) / Haykin, S. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    1997


    Format / Umfang :

    13 Seiten, 12 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch