Denoising Method for Calibration Data of Landing Guidance Radar Based on EMD and Wavelet

Abstract:

The noise resulted in the calibration process of the landing guidance radar can cause serious accidents. Analyse the principle of the EMD and wavelet denoising method. Points out the deficiencies of pure EMD or pure wavelet denoising method. Propose a denoising method based on EMD and wavelet. Improved the discriminanting method for high or low frequency components and the discriminanting method for wavelet thresholding. First EMD the signal, then denoise the high frequency components by wavelet, finally, combined the low frequency components and the denoised high frequency components to get the denoised data.

• Periodical: Advanced Materials Research (Volumes 962-965)
• Pages: 2856-2862
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.962-965.2856
• Online since: June 2014
• Authors: De Yi Sang*, Jian Jun Zhao, Li Bin Yang
• Keywords: De-Noising, Empirical Mode Decomposition (EMD), Landing Guidance Radar, Threshold Function, Wavelet Transform (WT)

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