Abstract
Introduction. Heuristic synthesis is used to improve the efficiency of reception and processing of discrete signals under aprior information pressure. The analysis of the decisionmaking algorithm for the linear-logical processing of discrete signals in case of the incomplete aprior data on their parameters is presented. The work objective is to develop and analyze the efficiency of the linear-logical algorithms.Materials and Methods. New mathematical algorithms for the signal reception and processing, effective under conditions of a priori uncertainty, are proposed. They are based on the consideration of the structure of emissions and process exceedance in the signal processing channels.Research Results. Linear-logical algorithms for processing discrete signals are developed. They are based on the consideration of one, two and more detailed characteristics of emissions or exceedance of random processes.Discussion and Conclusion. The results obtained can be useful in the synthesis of algorithms and devices for the signal reception and processing. Algorithms and devices are implemented both in an analog form and in the form of algorithms for computers. The simulation programs for the signal processing under conditions of the considerable uncertainty of aprior information on the signals and the channels of their distribution are developed.
Highlights
Heuristic synthesis is used to improve the efficiency of reception and processing of discrete signals under aprior information pressure
New mathematical algorithms for the signal reception and processing, effective under conditions of a priori uncertainty, are proposed. They are based on the consideration of the structure of emissions and process exceedance in the signal processing channels
The results obtained can be useful in the synthesis of algorithms and devices for the signal reception and processing
Summary
Для повышения эффективности приема и обработки дискретных сигналов в условиях дефицита априорных сведений применяют эвристический синтез. Представлен анализ алгоритма принятия решения при линейнологической обработке дискретных сигналов в случае, если априорные данные об их параметрах неполны. Предложены эффективные в условиях априорной неопределенности математические алгоритмы приема и обработки сигналов. Они основаны на учете структуры выбросов и превышений процессов в каналах обработки. Они основаны на учете одной, двух и более детальных характеристик выбросов или превышений случайных процессов. Полученные результаты могут быть полезны в процессе синтеза алгоритмов и устройств приема и обработки сигналов. Алгоритмы и устройства реализуемы как в аналоговом виде, так и в виде алгоритмов для ЭВМ. Созданы программы моделирования при обработке сигналов в условиях значительной априорной неопределенности информации о сигналах и о каналах их распространения
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