Phase spectrum method for time delay estimation using twin-plane electrical capacitance tomography

2006 ◽  
Vol 42 (11) ◽  
pp. 630 ◽  
Author(s):  
V. Mosorov
Keyword(s):  
Time Delay ◽  
Time Delay Estimation ◽  
Twin Plane ◽  
Phase Spectrum ◽  
Delay Estimation ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Spectrum Method ◽  
Capacitance Tomography

Effect of Noise on Phase Spectrum Time-Delay Estimation Method

2014 ◽  
Vol 610 ◽  
pp. 862-866
Author(s):  
Lei Lei Deng
Keyword(s):  
Time Delay ◽  
Target Location ◽  
Estimation Method ◽  
Poor Performance ◽  
Time Delay Estimation ◽  
Phase Spectrum ◽  
Delay Estimation ◽  
Signal Frequency ◽  
The Difference ◽  
Computation Load

The phase spectrum time delay estimation (TDE) method is being used widely in trajectory tracking and target location, which due to its superiority in computation load and accuracy. However, the precision of TDE had declined severely as the result of noise. This paper plans to analyze the factor of noise, which has effects on the performance of phase spectrum TDE algorithm based on the difference principle. Theoretical analysis and computer simulation show that the fluctuation of phase caused by noise leads to poor performance. Furthermore, the extent of the influence relates to the time delay and signal frequency.

scholarly journals Plug Regime Flow Velocity Measurement Problem Based on Correlability Notion and Twin Plane Electrical Capacitance Tomography: Use Case

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2189
Author(s):  
Volodymyr Mosorov ◽  
Grzegorz Rybak ◽  
Dominik Sankowski
Keyword(s):  
Flow Velocity ◽  
Velocity Measurement ◽  
Measurement Problem ◽  
Correlation Method ◽  
Twin Plane ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Original Algorithm ◽  
Flow Velocity Measurement ◽  
Capacitance Tomography

In this paper, the authors present the flow velocity measurement based on twin plane sensor electrical capacitance tomography and the cross-correlation method. It is shown that such a technique has a significant restriction for its use, particularly for the plug regime of a flow. The major issue is with the irregular regime of the flow when portions of propagated material appear in different time moments. Thus, the requirement of correlability of analyzed input signal patterns should be met. Therefore, the checking of the correlability should be considered by such a technique. The article presents a study of the efficiency of the original algorithm of automatic extraction of the suitable signal patterns which has been recently proposed, to calculate flow velocity. The obtained results allow for choosing in practice the required parameters of the algorithm to correct the extraction of signal patterns in a proper and accurate way. Various examples of the application of the discussed algorithm were presented, along with the analysis of the influence of the parameters used on the quality of plugs identification and determination of material flow.

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