| Citation: | ZHANG Jingyuan, HE Yuzhu. Removing baseline drift in vibration signal of autopilot based on morphology[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(5): 907-913. doi: 10.13700/j.bh.1001-5965.2017.0371(in Chinese)
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The baseline drift and heavy pollution for vibration test of missile autopilot are still problems. The requirement of denoising is difficult to be achieved by traditional time-frequency method. In this paper, to filter out the baseline drift noise, a new morphological filtering method based on the basic principle of generalized morphology is proposed. The proposed method is composed of three-level structure:the former two are based on the morphological principle, and the third level is designed for cancellation and smoothing. Thus, baseline drift can be effectively suppressed by cascading. In addition, the proposed method is more adaptive by introducing particle swarm optimization (PSO). In the final experiments, the real signals of autopilot and ECG signals are denoised by the proposed method and reference methods. The experimental results show that the proposed method is better than wavelet denoising and traditional morphological denoising in suppressing baseline drift.
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