Moving object signal peculiarities of an autodyne radar with symmetric saw-tooth FM law

机译：对称锯齿调频定律的自达因雷达的运动物体信号特性

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Investigation results of signal formation peculiarities are presented for the autodyne short-range radar system using the symmetric saw-tooth law of frequency modulation. Experimental data is obtained with the Gunn-diode 8mm-range oscillator with frequency tuning with the varicap help.

机译：利用调频对称锯齿律，给出了自差短程雷达系统信号形成特性的研究结果。实验数据是使用带有可变电容的频率调谐功能的8毫米Gunn二极管振荡器获得的。

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来源
《The Second International Conference on Information and Telecommunication Technologies and Radio Electronics》|2017年|1-4|共4页
会议地点 Odessa(UA)
作者
G. P. Ermak; A. S. Vasiliev; V. Ya. Noskov; K. A. Ignatkov;
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作者单位

O. Ya. Usikov Institute for Radio Physics and Electronics, (IRE NASU), Kharkiv, Ukraine;

O. Ya. Usikov Institute for Radio Physics and Electronics, (IRE NASU), Kharkiv, Ukraine;

Ural Federal University (UrFU), Ekaterinburg, Russia;

Ural Federal University (UrFU), Ekaterinburg, Russia;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Frequency modulation; Oscillators; Microwave filters; Radar; Spectrogram; Microwave antennas;

机译：调频振荡器微波滤波器雷达频谱图微波天线;

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专利

1. SIGNALS OF AUTODYNE RADARS WITH FREQUENCY MODULATION ACCORDING TO SYMMETRIC SAW-TOOTH LAW [J] . V.Ya. Noskov, K.A. Ignatkov, A.P. Chupahin, Telecommunications and Radio Engineering . 2016,第17期

机译：根据对称锯齿定律进行频率调制的自动雷达信号
2. THE INFLUENCE OF ACCOMPANYING AM ON THE FORMATION OF SIGNALS FROM AUTODYNE SHORT-RANGE SENSORS WITH FM [J] . V. Ya. Noskov, K. A. Ignatkov, Kirill D. Shaidurov, Telecommunications and Radio Engineering . 2020,第16期

机译：随附我对来自FM自闭虫短距离传感器的信号形成的影响
3. Image Reconstruction of Moving Objects Using Multiple IR-UWB Radar Signals [J] . Ha Taehyeong, Kim Jeongtae IEEE sensors journal . 2019,第20期

机译：使用多个IR-UWB雷达信号重建运动对象的图像
4. Moving object signal peculiarities of an autodyne radar with symmetric saw-tooth FM law [C] . G. P. Ermak, A. S. Vasiliev, V. Ya. Noskov, International Conference on Information and Telecommunication Technologies and Radio Electronics . 2017

机译：用对称锯齿FM法移动自闭虫雷达的物体信号特性
5. Classification of Radar Jammer FM Signals Using a Neural Network Approach. [D] . Mendoza, Ariadna. 2017

机译：使用神经网络方法对雷达干扰FM信号进行分类。
6. On the Analysis of PM/FM Noise Radar Waveforms Considering Modulating Signals with Varied Stochastic Properties [O] . Leandro Pralon, Gabriel Beltrao, Alisson Barreto, 2021

机译：考虑随机特性调制信号的PM / FM噪声雷达波形分析
7. Influence of attended FM of the am oscillator on the autodyne signal formation [O] . V. Ya. Noskov, S. M. Smolskiy, K. A. Ignatkov 2020

机译：AM振荡器参与FM对自闭虫信号形成的影响

Moving object signal peculiarities of an autodyne radar with symmetric saw-tooth FM law

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