Volume 36 Issue 8
Aug.  2010
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Ye Weidong, Li Xingshan. Real-time weak signal detection with the envelope mean filter algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(8): 909-912. (in Chinese)
Citation: Ye Weidong, Li Xingshan. Real-time weak signal detection with the envelope mean filter algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(8): 909-912. (in Chinese)

Real-time weak signal detection with the envelope mean filter algorithm

  • Received Date: 22 Jun 2009
  • Publish Date: 30 Aug 2010
  • The weak signal detection in strong noise environment had been a big difficulty in signal processing domain. A new algorithm that was the envelope mean filter(EMF) was discussed. The waveform of the weak signals that deeply buried in uniformly distributed noise can be recovered by EMF algorithm in real time. By using the mean of upper border and lower border of the envelope as the estimated value of the weak signal, the output waveform was smoothed by a real-time sliding mode mean filter. The basic principles of EMF algorithm were described. The simulation on the envelope of the analysis algorithm, the optimal attenuation coefficient a, oversampling factor k, smooth sequence length M and different SNR of the weak signal to the accuracy of the impact of the recovered signal were studied. The simulation results show that EMF algorithm can improve SNR over 60dB. The EMF algorithm has been successfully used for IEEE 1588 clock synchronization clock precision servo algorithm.

     

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