Noise cancellation for telemetry signal based on reconstructed phase space and principal component analysis
Hong-tao XU, Yue-gang WANG · Journal of Computer Applications · 2010
The aim of signal de-noising is recovering the original signal from the noisy environment.A new de-noising method for telemetry signal based on Principal Component Analysis(PCA)was proposed.First a one-dimension time series can be embedded to equivalent multi-dimensions through the Reconstructed Phase Space(RPS)method.Then it can extract the telemetry signal by PCA because the telemetry signal was the principal component.The experimental results show that the de-noising performance of the proposed method is good,and also is very similar to the wavelet de-noising method.Simulations verify that the proposed method possesses good performance and better self-adaptive ability compared to other methods.