Denoising Method for Landing Guidance Radar Calibration Data
SANG Deyi
ZHAO Jianjun
YANG Libin
Abstract：Landing guidance radar requires high precision ,must be calibrated regularly .Calibration data contains many kinds of radar error data and a variety of noise ,and some error data are close to the noise in frequency .So ordinary filtering algorithm is not suitable for the denoising of calibration data .An improved denoising algorithm is proposed based on EMD combined with wavelet decomposition in the premise of radar target characteristics of school data .The high frequency compo‐nents of the discriminant function and wavelet threshold function are improved according to the calibration data characteristic . First the signal is devompased ,then the high frequency components are denoised by wavelet .Finally ,the low frequency components and the denoised high frequency components are combined to get the denoising data .The simulation results show that ,the method removes the noise in the calibration data effectively in the premise of protection radar error data .
Keywords：EMDwavelet transformlanding guidance radarthreshold functiondenoising
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 387-391 )