Solution to error source model selection problem in IS EASECC

Introduction. The development of error-correcting techniques in digital transmission channels is considered. This is a multiparameter problem the solution of which through the analytical methods is rather difficult. This problem is solved within the framework of an information system for evaluating the applicability of noise-immune coding schemes based on an error sequence obtained from a real communication channel. The work objective is to develop methods for selecting the means of noise-immune protection in the data transmission systems. The key problem is to modify an information system evaluating the applicability of error-correcting coding so that it can choose the most appropriate error-source model for the error flow registered in the particular channel, and coordinate error-correcting codec parameters and characteristics of the communication channel based on the simulation experiments. Note that the choice of error-correcting methods involves selecting not only an algebraic code, but also algorithms for its coding and decoding. The results of using the error-correcting methods depend on the intensity and structure of the errors acting in the transmission channel. Materials and Methods. The basis of the described information system is a specialized software package based on the noise-immune communication channels simulation. To construct such a modification, we suggest adding a new module responsible for the error-source model selection. The module involves a special algorithm for the adequate error-source model selection constructed on the basis of the hidden semi-Markov models theory methods, particularly, on the evaluation problem solution. Research Results. The result of the work is a built-in modification of the information system for assessing the applicability of noise-immune coding schemes which allows, in an automatic mode, selecting a suitable method for a particular data transmission system from a list of the available methods of the anti-jamming protection. Discussion and Conclusions. The results obtained can be applied under designing digital transmission channels. The constructed information system allows for the automation of the process of selecting algorithmic methods of the noise-proof protection in the data transmission systems.