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Вестник Воронежского государственного технического университета
Article . 2014
Data sources: CyberLeninka - Russian open access scientific library
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Исследование лчм сигналов в моделях нелинейного радиолокационного зондирования объектов

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2014 Russian Publisher:Государственное образовательное учреждение высшего профессионального образования «Воронежский государственный технический университет»Journal:Вестник Воронежского государственного технического университета (issn: 1729-6501, Copyright policy )

Исследование лчм сигналов в моделях нелинейного радиолокационного зондирования объектов

Abstract

The description of imitating model of process of radar sounding of objects with nonlinear electric properties is provided. Procedure of an optimum filtration of LFM of a signal against Gaussian noise is described. Examples of calculation of characteristics of quality of devices of nonlinear radar sounding of objects are given

Приводится описание имитационной модели процесса радиолокационного зондирования объектов с нелинейными электрическими свойствами. Описана процедура оптимальной фильтрации ЛЧМ сигнала на фоне гауссовых шумов. Даны примеры расчета характеристик качества устройств нелинейного радиолокационного зондирования объектов

Keywords

ЛИНЕЙНО ЧАСТОТНО МОДУЛИРОВАННЫЙ СИГНАЛ, НЕЛИНЕЙНАЯ РАДИОЛОКАЦИЯ, ОПТИМАЛЬНАЯ ФИЛЬТРАЦИЯ СИГНАЛОВ, МОДЕЛИРОВАНИЕ СИГНАЛОВ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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