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本文分析了于波神经网络（ＷＮＮ）的生理依据，构造了便于启发式特征抽取的子波。研究了该子波及其相应的ＷＮＮ在非相干雷达船目标特征抽取中的应用。对现场实录的四类船目标回波数据进行实验，结果表明新构造的低维特征具有较高的目标分类应用价值，抗噪性能良好．
In this paper, the physiological basis of wave neural network (WNN) is analyzed, and the wavelet which facilitates the heuristic feature extraction is constructed. The application of the wavelet and its corresponding WNN in target feature extraction of incoherent radar vessel is studied. Experiments on the target echo data of four types of ships recorded in the field show that the newly constructed low-dimensional features have high application value of target classification and good anti-noise performance.