Paper
19 October 2023 Compensation of linear distortions in case of transmitting measurement information
Author Affiliations +
Abstract
A fundamental problem in the transmission of measurement information in contemporary information management systems is the distortion of the signals as an outcome of uneven frequency characteristics of the connection channels. The link channel, as the signal propagation medium, is part of the cascades, as at the transmitter as well at the receiver. The linear distortions of the signal consist in a change in its information parameters, and they can be related to its amplitude and phase spectrum. Compensation of signal distortions is an effective and operative method for increasing the speed of transmitted information and the quality of measurement systems. To compensate for amplitude and phase distortions of the signals, correctors are gained, which are connected coherently to the link channel. The properties of the correctors are identified by their transfer function, frequency response and attenuation. Depending on the assign of elements in the circuit of the corrector, different frequency characteristics and attenuation are derived. Of particular importance is the question of their sensitivity, both to a change in a certain parameter of the scheme, and to the frequency. In the presented work, a fusion of a digital corrector is proponed for the compensation of linear distortions in the transmission of discrete signals. Its characteristics have been explored and analyzed, and conclusions have been drawn regarding its effectiveness and application.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Galina Cherneva, Valentina Hristova, Denitsa Borisova, Anna Bouzekova-Penkova, and Daniela Avetisyan "Compensation of linear distortions in case of transmitting measurement information", Proc. SPIE 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV, 127341G (19 October 2023); https://doi.org/10.1117/12.2680510
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KEYWORDS
Frequency response

Digital filtering

Video

Infinite impulse response filters

Tunable filters

Data transmission

Pulse signals

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