Processing of Phase Measurement Results of Periodic Signals of Self-generating Sensors
DOI:
https://doi.org/10.31649/1997-9266-2019-142-1-86-91Keywords:
self-generating converter, quasi-harmonic signal, noise, numerical measurement methodAbstract
The problem of phase measuring is a promising scientific and technical direction, but the general tendency of its solution is the inextricable development of the methodology of information processing and software and hardware part of the control and measuring equipment used in such fields as radiophysics, radio navigation, precision measurement of roughness, size and defects, surfaces and crystals, detecting, including noisy FM signals. At present, the following methods for measuring the phase difference of signals, such as phase compensation, phase difference transformation in time intervals, correlation methods, Fourier series transformation method with subsequent phase separation, as well as digital methods, the most common of which is the time gate method and method of a discrete number of pulses of a measuring signal.
Most of the described methods are designed to measure the phase of harmonic and quasi-harmonic signals. However, in real-world measurement, the measuring channel is a source of noise; the output measurement signal is distorted and requires filtration, which requires the use of complex filter systems, or application software that implements a signal filtering algorithm. This problem can also occur due to the relaxation mode of the measuring self-generator and violation of the power supply. In order to simplify the hardware and reduce the number of mathematical operations that increase the measurement time and reduce the sensitivity of the measurement, a numerical method for calculating the phase of the measurement signal of self-generator converters of physical quantities in the background of the action of the additive noise of the signal propagation channel, including parasitic amplitude modulation, is demonstrated. , thus eliminating the need to consider the spectral composition of the signal and the cumbersome calculations of the Fourier transform.
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