Adaptive Software-Configurable System Development to Receive, Transmit and Process Information

An adaptive software-configurable system to receive, transmit and process information that provides flexible and resistant to various interfering factors operation for multipurpose robotic complexes (RC) has been developed. Moreover, such RC are capable to work independently or as part of a group in...

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Bibliographic Details
Published in2020 International Scientific and Technical Conference Modern Computer Network Technologies (MoNeTeC) pp. 1 - 6
Main Authors Kirillov, Sergey N., Lisnichuk, Alexander, Batishchev, Andrey V., Aronov, Leonid V., Baukov, Andrew A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.10.2020
Subjects
Bandwidth
Interference
OFDM
Optical fiber communication
PAPR
Peak to average power ratio
Reed-Solomon codes
Streaming media
Tone Reservation
underwater optical communication channel
video processing
Wireless communication
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Summary:An adaptive software-configurable system to receive, transmit and process information that provides flexible and resistant to various interfering factors operation for multipurpose robotic complexes (RC) has been developed. Moreover, such RC are capable to work independently or as part of a group in various natural conditions (for example, on land in different weather, under water, etc.). This system includes the following components: open optical communication system; radio communication system, based on OFDM technology, resistant to concentrated power spectral density interferences and video processing system under the influence of interfering factors (rain, snow, fog, etc.). Adaptive change in the code rate of correction codes makes it possible to increase communication range over underwater wireless optical communication channel by more than 2 times. For the radio communication system based on OFDM technology, the placement of reserved tones in interference band allows combating spectrum-centered interference using classical methods, with a gain of up to 10% relative to full bandwidth. The proposed algorithm to process video images under the influence of interfering factors provides 3.1% ... 14.8% lower normalized level of errors of the second kind, and the algorithm to increase contrast improves quality standards of Quality Edges (QE) up to 2 times compared to the approaches known.
DOI:10.1109/MoNeTeC49726.2020.9258072