分析了自适应滤波器的原理和算法流程,在Labview软件中采用自适应滤波中的噪声抵消方法对实验中的光纤水听器阵列内的单元数据进行了处理,结果表明在静态目标检测中,可以在不降低信号强度的情况下,将整体噪声水平降低10dB,从而可以得到清晰的阵列波束图;在对拖曳噪声数据的处理中,噪声也得到了明显的抑制。因此,将自适应滤波器用于光纤水听器传感信号的后处理有一定的应用价值。 The principle and algorithm flow of the adaptive filter are analyzed. In the Labview software, the noise of the adaptive filter is used to deal with the unit data in the experimental fiber hydrophone array. The results show that in the static target detection, The overall noise level can be reduced by 10 dB without reducing the signal strength, so that a clear array beam pattern can be obtained. In the processing of the towed noise data, the noise is also obviously suppressed. Therefore, the adaptive filter for fiber hydrophone sensor signal post-processing has a certain value.