title: ÐÐ½Ð°Ð»Ð¸Ð· Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸ÑÑ Ð¾Ð´Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ ÐÐÐ¡ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ñ Ð´Ð²ÑÑ Ð²ÑÑÐµÐº Ð¿ÑÐ¸Ã«Ð¼Ð° ÑÐ¸Ð³Ð½Ð°Ð»Ð°, Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ð¼Ð¸ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Ðnalysis and implementation of the algorithm for processing the source datakyk data received from two signal reception towers,by mathematical methods
Creators: name: ÐÐµÐ»Ð¾Ð½Ð¾Ð³Ð¾Ð², ÐÐ»ÐµÐºÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¸Ð»ÑÑÑ ÐºÐ°Ð»Ð¼Ð°Ð½Ð°
Ð»Ð¾ÐºÐ°Ð»ÑÐ½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° Ð½Ð°Ð²Ð¸Ð³Ð°ÑÐ¸Ð¸
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¾ÑÑÐ¾ÑÐ½Ð¸Ñ
kalman filter
local navigation system
condition prediction

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description: The subject of the graduate qualification work is Â«ÐÐ½Ð°Ð»Ð¸Ð· Ð¸ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÂ­Ð¼Ð° Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¸ÑÑÐ¾Ð´Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ ÐÐÐ¡ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð½ÑÑ Ñ Ð´Ð²ÑÑ Ð²ÑÑÐµÐº Ð¿ÑÐ¸Ã«Ð¼Ð° ÑÐ¸Ð³Ð½Ð°Ð»Ð°, Ð¼Ð°ÑÐµÐ¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ð¼Ð¸ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸Â». This work is devoted to the analysis and implementation of an algorithm for processing the initial data obtained from two towers receiving the signal of the local navigation system (LNS) using mathematical methods. The main focus is on the application of the extended Kalman filter for data processing and filtering. The paper discusses methods for reducing measurement noise and improving the accuracy ofassessing the condition of objects in real time. Prediction of the state of objects is carried out on the basis of multidimensional filtering of measurements. Data processing algorithms make it possible to effectively track and predict the position of objects, which is important for navigation and positioning systems. The experiments carried out and the analysis of the results demonstrate the effectiveness of the proposed approach in conditions of various scenarios and noise levels.