为使被动傅里叶变换红外光谱仪能在移动状态下进行大气污染气体的探测，研究了一种对干涉图进行滤波的信号处理算法。该算法通过选择合适的传统滤波器除去干涉图上多余的信息而保留与目标探测气体的特征峰有关的信息，达到识别的效果。结果表明利用该算法对干涉图进行处理可有效地识别污染气体。由于该算法不需要获得背景光谱，从而实现被动傅里叶变换红外光谱仪在移动状态下进行污染气体的探测。

A signal processing method was presented to make atmospheric pollutants be detected by mobile passive Fourier transform infrared interferometer. The methodology allows customized digital filters remove information from the interferogram except that associate with frequencies characteristic of a target chemical species of interest. The results indicate that the method is credible for detecting pollutants. The detection of atmospheric pollutants by mobile passive Fourier transform infrared interferometer can be realized easily because spectral backgrounds are not needed.