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中南大学学报(英文版)

Journal of Central South University

Vol. 26    No. 12    December 2019

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Parameters estimate of recurrent quantum stochastic filter for time variant frequency periodic signals
ZHOU Li-chun(周丽春), JIN Fu-jiang(金福江), WU Hao-han(吴浩瀚), WANG Bo(王波)

College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China

Abstract:Designing optimal time and spatial difference step size is the key technology for quantum-random filtering (QSF) to realize time-varying frequency periodic signal filtering. In this paper, it was proposed to use the short-time Fourier transform (STFT) to dynamically estimate the signal to noise ratio (SNR) and relative frequency of the input time-varying frequency periodic signal. Then the model of time and space difference step size and signal to noise ratio (SNR) and relative frequency of quantum random filter is established by least square method. Finally, the parameters of the quantum filter can be determined step by step by analyzing the characteristics of the actual signal. The simulation results of single-frequency signal and frequency time-varying signal show that the proposed method can quickly and accurately design the optimal filter parameters based on the characteristics of the input signal, and achieve significant filtering effects.

 

Key words: quantum stochastic filter (QSF); parameters estimation; least square (LS); short-time Fourier transform (STFT)

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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