• Title/Summary/Keyword: vector network analyzer

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Propagation characteristic analysis and measurement of gaussian pulse signals on the microstrip line (마이크로스트립 선로상 가우시안 펄스신호의 전파특성 해석 및 측정)

  • Rhee, Seoung-Yeop;Shin, Ho-Sub;Kim, Nam;Kwan, Weon-Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.6
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    • pp.1425-1432
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    • 1998
  • The propagation properties of Gaussian pulse signals on the microstrip line are investigated by the Kirschning & Jansen's approximated equation to meet the frequency range of a pulse, accuracy, and geometrical requiremtns of the microstrip line. The dispersion of pulse signals is analyzed regarding to the relative permittivity .epsilon.$_{r}$, substrate height h and strip width w of the microstrip line. To verify theoretical results, several samples of 50.OMEGA. microstrip lines are fabricated. And the characteristics of pulse propagation along these lines are simple measured using VNA(Vector Network Analyzer) with time-domain analysis function. A fairly good agreement has been found between the measured pulse waveforms and computer simulations.

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RF Channel Characteristics of the Medium-voltage Power Line for PLC (전력선통신을 위한 중 전압용 전력선의 RF채널 특성)

  • Kim, Seon-Hyo;Kim, Gwan-Ho;Lee, Hyeong-Cheol;Sin, Cheol-Jae
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.51 no.7
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    • pp.316-321
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    • 2002
  • In this Paper, the channel characteristics of the medium voltage(22.9kV) power line to analysis the broadband power line communication in the frequency range up to 30MHz was measured. With the sideband electrical coupler in the operating frequency range from DC to 30MHz, we measured characteristic impedance, noise and attenuation of the medium voltage power line, and then characteristic impedance was measured at the state of unloaded medium voltage power line by Scattering parameter method of Vector Network Analyzer. As a measurement result, Channel impedance shows 100~380$\Omega$ at the less than 15MHz and 70~230$\Omega$ at the more than 15 MHz. Noise characteristics of power line shows -75dBm at 20MHz and Narrowband interference noise was from 3 MHz to 7MHz.

New Density-Independent Model for Measurement of Grain Moisture Content using Microwave Techniques

  • Kim, Jong-Heon;Kim, Ki-Bok;Noh, Sang-Ha
    • Journal of Electrical Engineering and information Science
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    • v.2 no.4
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    • pp.72-78
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    • 1997
  • A free space transmission method using standard gain horn antennas in the frequency range from 9.0 to 10.5GHz is applied to determine the dielectric properties of grain such as rough rice ,brown rice and barley. The dielectric constant and loss factor, which depend on the moisture content of the wetted grain are obtained from the measured attenuation and phase shift by vector network analyzer. The moisture content of grain varied from 11 to 25% based on this wetted condition. The measured values of dielectric constants as a function of moisture density are compared with values of those obtained using he predicted model for estimating dielectric constants of grain. The effect of density fluctuation, high is an important parameter governing the dielectric properties of grain, on the dielectric constant and loss factor is presented. A new density-independent model in terms of measured attenuation an moisture density is proposed of reducing the effects of density fluctuation on the moisture content measurement.

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Precise Impedance Measurement of Coaxial Loads using Air Line Impedance Standards (Air Line 임피던스 표준을 이용한 동축형 부하의 임피던스 정밀 측정)

  • 강진섭;김정환
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.11 no.5
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    • pp.788-795
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    • 2000
  • In this paper, a method for the precise impedance measurement of coaxial loads using an offset open and short as the reflection standards and reference air lines with different lengths as the impedance standards is proposed. Measured input impedances of power sensors and thermistor mounts obtained from SWR bridges(5~400MHz) and a vector network analyzer(100~1,000MHz) are presented in the frequency range of 5MHz to 1,000 MHz.

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Electrical Parameter Extraction of High Performance Package Using PEEC Method

  • Pu, Bo;Lee, Jung-Sang;Nah, Wan-Soo
    • Journal of electromagnetic engineering and science
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    • v.11 no.1
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    • pp.62-69
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    • 2011
  • This paper proposes a novel electrical characterization approach for a high-performance package system using an improved Partial Element Equivalent Circuit (PEEC). As the effect of interconnects becomes a pivotal factor for the performance of high-speed electronic systems, there is a great demand for an accurate equivalent model for interconnects. In particular, an equivalent model of interconnects is established in this paper for the Fine-Pitch Ball Grid Array (FBGA) package using the improved PEEC method. Based on the equivalent model, electrical characteristics are analyzed; furthermore, these are verified through the measurement results of a Vector Network Analyzer (VNA).

Target-to-Clutter Ratio Enhancement of Images in Through-the-Wall Radar Using a Radiation Pattern-Based Delayed-Sum Algorithm

  • Lim, Youngjoon;Nam, Sangwook
    • Journal of electromagnetic engineering and science
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    • v.14 no.4
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    • pp.405-410
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    • 2014
  • In this paper, we compare the quality of images reconstructed by a conventional delayed-sum (DS) algorithm and radiation pattern-based DS algorithm. In order to evaluate the quality of images, we apply the target-to-clutter ratio (TCR), which is commonly used in synthetic aperture radar (SAR) image assessment. The radiation pattern-based DS algorithm enhances the TCR of the image by focusing the target signals and preventing contamination of the radar scene. We first consider synthetic data obtained through GprMax2D/3D, a finite-difference time-domain (FDTD) forward solver. Experimental data of a 2-GHz bandwidth stepped-frequency signal are collected using a vector network analyzer (VNA) in an anechoic chamber setup. The radiation pattern-based DS algorithm shows a 6.7-dB higher TCR compared to the conventional DS algorithm.

The Design of Microstrip Bandpass Filter for Wireless LAN using FDTD Parallel Algorithm (FDTD 병렬화 알고리즘을 이용한 무선랜용 마이크로스트립 대역통과 펄터 설계)

  • 최성열;박경수;고영호
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.53 no.7
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    • pp.395-400
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    • 2004
  • In this paper, the four-pole elliptic function microstrip filter at 2.4GHz band with fractional bandwidth of 4% is realized using compact miniaturized hairpin resonators. The parallel algorithm FDTD method is used to analyze S-parameter of hairpin resonator filter more accurately, and to calculate the electric coupling and magnetic coupling among the hairpin resonators. Absorbing boundary conditions for mesh termination used Sulivan's simplified PML and the FDTD code was paralleled by MPI for IBM SP2 which had enhanced calculation speed. The experimental measurements are performed by HP8720D vector network analyzer. Measured results on fabricated hairpin type cross coupled bandpass filters show good agreements with theoretic results.

Experimental Characterization and Signal Integrity Verification of Interconnect Lines with Inter-layer Vias

  • Kim, Hye-Won;Kim, Dong-Chul;Eo, Yung-Seon
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.11 no.1
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    • pp.15-22
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    • 2011
  • Interconnect lines with inter-layer vias are experimentally characterized by using high-frequency S-parameter measurements. Test patterns are designed and fabricated using a package process. Then they are measured using Vector Network Analyzer (VNA) up to 25 GHz. Modeling a via as a circuit, its model parameters are determined. It is shown that the circuit model has excellent agreement with the measured S-parameters. The signal integrity of the lines with inter-layer vias is evaluated by using the developed circuit model. Thereby, it is shown that via may have a substantially deteriorative effect on the signal integrity of high-speed integrated circuits.

A Novel Transmission Line Characterization Based on Measurement Data Reconfirmation

  • Eo, Yungseon
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.3
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    • pp.17-27
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    • 2016
  • In the high-frequency characterizations of planar circuit components, measurement data may not be physical. It is mainly due to resonance effects concerned with discontinuities which are inevitable for a planar component characterization. In this paper, a novel accurate transmission line characterization method is presented that excludes the resonance effects based on measurement data reconfirmation. For the physically obvious data acquisition near the resonance frequencies of a transmission line, the additional lines with different line lengths are fabricated on the same substrate. The test transmission lines are characterized by using vector network analyzer (VNA) in 100 MHz to 26.5 GHz. It is shown that an accurate transmission line characterization can be achieved with the proposed measurement data reconfirmation technique.

Design of Image Generation System for DCGAN-Based Kids' Book Text

  • Cho, Jaehyeon;Moon, Nammee
    • Journal of Information Processing Systems
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    • v.16 no.6
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    • pp.1437-1446
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    • 2020
  • For the last few years, smart devices have begun to occupy an essential place in the life of children, by allowing them to access a variety of language activities and books. Various studies are being conducted on using smart devices for education. Our study extracts images and texts from kids' book with smart devices and matches the extracted images and texts to create new images that are not represented in these books. The proposed system will enable the use of smart devices as educational media for children. A deep convolutional generative adversarial network (DCGAN) is used for generating a new image. Three steps are involved in training DCGAN. Firstly, images with 11 titles and 1,164 images on ImageNet are learned. Secondly, Tesseract, an optical character recognition engine, is used to extract images and text from kids' book and classify the text using a morpheme analyzer. Thirdly, the classified word class is matched with the latent vector of the image. The learned DCGAN creates an image associated with the text.