Investigations of the Methods of Time Delay Measurement of Stochastic Signals Using Cross-correlation with the Hilbert Transform
- Resource Type
- Conference
- Authors
- Hanus, Robert; Zych, Marcin; Chorzepa, Rafal; Golijanek-Jedrzejczyk, Anna
- Source
- 2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON) Electrotechnical Conference ( MELECON), 2020 IEEE 20th Mediterranean. :238-242 Jun, 2020
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Delay effects
Signal to noise ratio
Standards
Transforms
Estimation
Time measurement
Correlation
Time delay measurement
random signals
cross-correlation
Hilbert Transform
- Language
- ISSN
- 2158-8481
The article presents the results of simulation studies of four methods of time delay estimation for random signals using cross-correlation with the Hilbert Transform. Selected models of mutually delayed stochastic signals were used in the simulations, corresponding to the signals obtained from scintillation detectors in radioisotope measurements of liquid-gas two-phase flow. Standard deviations of the values of the individual functions were designated and compared, along with standard deviations of time delay estimates determined on their basis. The obtained results were compared with the results for classic cross-correlation function (CCF). It was found that for the analysed range of the signal-to-noise ratio (SNR): 0.2 ≤ SNR ≤ 5, the lowest values of standard deviation of time delay estimates were obtained for the CCFHT function (cross-correlation with the Hilbert Transform of the delayed signal).