SUBSTANTIATION OF WAYS TO IMPROVE THE METHODS OF NOISE-RESISTANT CODING

Abstract

Information transmission is of great value in many areas of life, technology, science and communications. And error-free transmission of information ensures the reliability and accuracy of received information. This is of crucial importance in critical situations, such as in medicine, aviation, and financial transactions, where even small errors can have serious consequences. In addition, error-free information transmission saves resources, such as network bandwidth, energy, and time, which is especially important in communications, where limited resources must be used efficiently to transmit large amounts of data. In today’s fast pace lifestyle, the speed and efficiency of communication is crucial, as error-free transmission of information allows efficient use of information without the need to spend time and effort on error correction or retransmission. The known methods of error-correcting information coding are analyzed in the article, and the criteria and indicators of their effectiveness are argued. The methods of constructing cascade code structures are studied, and promising ways of their further improvement are substantiated. The analysis and comparative studies of known noise-resistant coding methods have revealed a scientific and technical contradiction between the current state of the scientific and methodological apparatus of noise-resistant coding theory, the capabilities of the applied error correction systems, the existing methods and algorithms of noise-resistant coding (decoding) and the requirements for the properties necessary for practical applications of ensuring a given error protection level of the transmission of discrete messages in telecommunication systems and special-purpose networks, including control and communication systems. The recent study has shown that the development of promising cascade code constructions with improved properties obtained by cascading linear block codes with fast soft decoding algorithms and iterative exchange of the obtained solutions can solve the identified problem. On the one hand, this approach allows us to preserve the ideology of turbo coding, thus, to implement the exchange of soft solutions in an iterative multi-step decoding process, which ensures high energy efficiency of the noise-resistant code. On the other hand, this approach will significantly reduce the complexity of implementing decoding algorithms, which, together with high energy efficiency, will allow the use of this class of cascade codes in telecommunication systems and special-purpose networks, including control and communication systems.