In this paper it is argued that optimizing radar detection performance in a changing environment by selecting appropriate waveform parameters is not an easy task. The problem of evaluating radar performance has been solved by using a computer model called CARPET. However, using CARPET for adaptive selection of waveform parameters presents some problems due to excessive computation times. The approach proposed in this paper which employs a neural network to predict radar performance and the simulated annealing technique to select the optimum waveform parameters looks feasible. Further experiments will be carried out to investigate the optimum selection under different propagation conditions. Especially the effects of jamming and ducting will be investigated.


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    Title :

    Adaptive waveform selection with a neural network


    Additional title:

    Adaptive Auswahl von Wellenformen mit einem neuronalen Netz


    Contributors:


    Publication date :

    1992


    Size :

    3 Seiten, 5 Bilder, 1 Tabelle, 5 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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