Abstract
An adaptive radar detection algorithm for the detection of small pieces of ice floating in an open sea environment is presented. The detection is carried out in the time-frequency domain, which eliminates the limitations of standard Doppler processing. Instead of looking for the 'best' time-frequency representation, the detection scheme is based on the ambiguity function and the focus is more on extracting information needed for classification. The detection scheme uses a multilayer perceptron as a pattern classifier. Using actual radar data, the adaptive detection results are compared with a traditional time-frequency domain constant false-alarm rate (CFAR) processor.
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