The lunar soil water ice prediction sensor is an instrument that rapidly determines whether lunar soil contains water ice using reflectance difference spectroscopy.In order to acquire the reflection signals of lunar soil and remove mixed noise in real time

a signal acquisition and noise processing software for lunar soil water ice prediction sensor is designed based on field programmable gate array(FPGA).By analyzing the noise types and characteristics of the acquired signals

a two-stage real-time denoising scheme combining cumulative averaging denoising and moving average filter(MAF)is proposed.The experimental results show that the signal acquisition and noise processing software realizes stable acquisition of lunar soil reflection signals

effectively suppresses coupled noise and random noise

and provides more accurate data for rapid prediction of lunar soil water ice.