Adaptive Waveform for Cognitive Radar to Minimize Cramér-Rao Bound
Hongliang Liu, Weiyi Chen, Zhong-sheng Xu · 2014
In order to remove the noise from random drift signal of fiber optical gyroscope, the wavelet analysis technique is proposed in the filter Processing. Based on the component elements of random drift signal of fiber optical gyroscope, mathematical model of random drift signal of fiber optical gyroscope is built. According to the shortcoming of hard threshold and soft threshold, threshold function of forced denoising is used in signal filtering. It is shown from simulation and statistic analysis that the wavelet analysis technique is an effective method to eliminate noise from random drift signal of fiber optical gyroscope, and that selection of wavelet base and decomposition scale also has an impact on filtering effect of wavelet analysis.