Abstract
Noise immunity is one of the most important characteristics of modern data transmission systems. Increasing noise immunity at fixed data rates is an urgent problem, for example, for wireless networks. Increasing the noise immunity of data transmission is achieved by increasing the length and power of the noise-tolerant barker-like code sequence used to transmit a single message. Advantages of these barker-like sequences, such as high noise immunity to high-power narrowband interference, code separation capability, transmission secrecy, high resistance to multi-beam propagation, high resolution in navigation measurements, will be widely used in communication and radio systems. An advanced method for the synthesis of noise-tolerant barker-like code sequences using ideal ring bundles. An improved method for quickly finding such noise-tolerant barque-like code sequences that are able to find and correct errors to the greatest extent according to the length of the obtained code sequence. Implemented algorithm for fast finding of noise-tolerant barker-like code sequences, which are able to find and correct errors in the largest amount according to the length of the obtained barker-like code sequence. A simulation model of noise-tolerant barker-like coding with the use of ideal ring bundles has been developed. The software implementation of the simulation model of noise-tolerant barker-like coding on finding and correcting errors in the obtained noise-tolerant barker-like code sequences is carried out. The proposed noise-tolerant barker-like code sequences are of practical value, as the resulting barker-like code sequence contains up to 50% and corrects up to 25% of distorted characters from the length of the noise-tolerant barker-like code sequence.
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Riznyk, O., Tsmots, I., Teslyuk, V. (2023). Method and Means of Synthesis of Barker-Like Codes for Data Transmission Coding. In: Klymash, M., Luntovskyy, A., Beshley, M., Melnyk, I., Schill, A. (eds) Emerging Networking in the Digital Transformation Age. TCSET 2022. Lecture Notes in Electrical Engineering, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-031-24963-1_24
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