Study On De-noising Methods Of The Air Cushion Vehicle Signal

The Air Cushion Vehicle (ACV) is a kind of high-performance marine vehicle that based on theory of air cushion. Because ACV has lots of performance characteristics, such as amphibious and high speed etc, it was applied extensively in commercial and military fields. This paper focused on the study of ACV's signal filtering methods.First of all, this paper introduced the signal pretreatment method and gave a combination of median filter method and introduced power spectral density (PSD). Then the Welch PSD is used to analyze the ACV's signals and the combination filter does the pretreatment work.Secondly, FIR filter is introduced. The key to build efficient FIR is pointed out as the mean flame to optimized FIR parameters. Based on the analysis of ACV's signals the restrictions are given. Four kinds of FIR filters is designed. And two representative signals are filtered by Remez filter.Finally, wavelet transforms and de-noising method is discussed. Simulation is given for several common wavelets. The DB wavelet transforms are used to analyze ACV's signals and de-noising is performed.