Noise Energy Estimation and Denoising of Flight Data Based on Noise Assisted Bivariate Empirical Mode Decomposition
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    Abstract:

    To solve the problems that traditional denoising methods are not suitable for processing the flight data recorder parameters which are of low sampling frequency, noise mixes with abnormity, nonlinear and nonstationary, a denoising method of flight data recorder parameters based on noise assisted bivariate empirical mode decomposition is proposed. Firstly, a complex signal constructed by given parameter and gaussian white noise is decomposed by bivariate empirical mode decomposition; secondly, according to the energy of each intrinsic mode function in imaginary part, the noise energy of each intrinsic mode function in real part is estimated; finally, the denoised parameter is obtained by dealing with each intrinsic mode function separately. Simulation results show that our method has more performance advantages than existing methods, and can improve the precision flight data recorder parameters denoising.

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  • Online: January 15,2018
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