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Abstract
Aiming at the non-stationary characteristics of narrowband radar echo of micro-motion target, a novel micro-motion signal denoising algorithm is proposed. Firstly, the weight function is constructed by coherent accumulation, and the echo is weighted by weight function to filter out the noise in range dimension. Secondly, the singular spectrum analysis(SSA) is performed on the range bin of the echo, the signal with large singularities is preserved, and the noise with small singularities is filtered out. Then, the azimuth dimension signal transformed from time domain into time-frequency domain, the step iteration method is used to adaptively filter the time-frequency spectrum and the time-frequency filtering result with the best denoising effect selected by defining the risk function. Finally, the simulation verify the effect of the proposed method.
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