目前,新式扫雷具能够精确地模拟舰船磁场信号,使得当前水雷仅依靠磁场时间波形信息,进行识别的难度加大。由于舰船磁场和扫雷具磁场的产生方式有很大区别,可以利用两者的差异,选取各方向磁矩作为特征量,建立相应的目标识别模型,提出一种新的抗扫方法。最后,采用遗传算法作为识别算法,对舰船和扫雷具信号进行识别,得到了满意的结果。 At present, the new type of mine sweeper can precisely simulate the ship’s magnetic field signals, making it more and more difficult for the current mine to rely on the time waveform information of the magnetic field for identification. Due to the great difference between the ship’s magnetic field and the way of generating the magnetic field, the difference between the two can be used to select the magnetic moment in each direction as the feature quantity and establish the corresponding target recognition model. A new anti-sweeping method is proposed. Finally, using genetic algorithm as recognition algorithm, the signals of warship and mine sweeper are identified, and satisfactory results are obtained.