title: ÐÐ½Ð°Ð»Ð¸Ð· Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð°Ð½Ð°Ð»Ð¾Ð³Ð¾Ð²Ð¾Ð³Ð¾ Ð¼Ð¾Ð½Ð¾Ð¸Ð¼Ð¿ÑÐ»ÑÑÐ½Ð¾Ð³Ð¾ Ð¸Ð·Ð¼ÐµÑÐ¸ÑÐµÐ»Ñ ÑÐ°ÑÑÐ¾ÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Analysis of the parameters of an analog monopulse frequency meter
Creators: name: ÐÐ°Ð»ÑÐ³Ð¸Ð½, ÐÐ¸ÑÐ¸Ð»Ð»
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: 2021
Subjects: Ð Ð°Ð´Ð¸Ð¾ÑÐ¸Ð³Ð½Ð°Ð»Ñ
Ð¡Ð»ÑÑÐ°Ð¹Ð½ÑÐµ Ð¿ÑÐ¾ÑÐµÑÑÑ (Ð¼Ð°Ñ.)
ÐÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ Ð¼Ð°ÑÐ¸Ð½Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÐµ
Ð§Ð°ÑÑÐ¾ÑÐ°
ÐºÑÐ¸ÑÐµÑÐ¸Ð¹ ÐÐµÐ¹Ð¼Ð°Ð½Ð°-ÐÐ¸ÑÑÐ¾Ð½Ð°
ÑÐ°ÑÑÐ¾ÑÐ° Ð´Ð¸ÑÐºÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ð¸
Ð¿Ð¾ÑÐ¾Ð³Ð¾Ð²ÑÐµ Ð·Ð½Ð°ÑÐµÐ½Ð¸Ñ
Neuman-Pirson criterion
sampling frequency
threshold values

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description: The theme of the final qualification work: Â«Analysis of the parameters of an analog monopulse frequency meterÂ». The work relates to the field of radio monitoring. The object of research is an analog monopulse frequency meter (MFM), which implements the function of signal detection and estimation of its frequency. A rectangular sinusoidal pulse with a duration of 25 ... 100 ns with a carrier frequency in the range of 500 ... 1000 MHz is considered as a signal. The purpose of this work is to analyze the parameters of an analog microscope and develop recommendations for their improvement. To analyze the parameters of the MFM, its computer model was built in the MATLAB programming environment. The operation of the MFM is based on counting the emissions of a random input oscillation relative to a certain threshold level. Optimization of MFM parameters â threshold levels â was carried out on the basis of the Neman-Pearson criterion. The characteristics of detection are constructed for various values of the probability of false alarm and pulse duration. Solutions are proposed that allow improving the detection characteristics and the accuracy of estimating the frequency of the detected signal: an approach is proposed based on the analysis of two successive time windows of the signal instead of analyzing a single window of total duration, as well as an uneven division of the investigated frequency band into subbands. The results obtained can be used as recommendations for improving the operation of the MFM.