• Title/Summary/Keyword: 신호벡터크기

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Analysis of RP Power Amplifier Nonlinearity and BER Characteristics for Multi­Carrier Transmission System (다중반송 전송시스템을 위한 RF 전력증폭기의 비선형 특성과 BER관계 분석)

  • 신동환;이영철
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.8
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    • pp.1612-1620
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    • 2003
  • This papers describes a nonlinear transfer function modelling of designed GaAs FET power amplifier by measured and simulated values of designed PA amplifier for multi­carrier transmission system, With the results of PA nonlinearity characteristic, we can estimates AM­AM and AM­PM of designed PA. According to the estimated nonlinear characteristics, we can analysis the ACPR of PA for spectral regrowth, the error vector measurement(EVM) of constallation signals and bit error rate of QPSK and 64­QAM. The suggested nonlinear modelling results are used to get an accurate estimate of digital characteristics between PA amplifier and wireless multi­carrier transmission system using OFDM.

Iris Recognition System using Multi-Resolution Frequency Analysis and Back-Propagation (다해상도 주파수 분할과 Back-Propagation을 이용한 홍채인식)

  • Park, Kyoung-Woo
    • Journal of Integrative Natural Science
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    • v.1 no.3
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    • pp.221-229
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    • 2008
  • 본 논문에서는 기존의 개인 식별 방법의 한계를 해결하는 대안으로 떠오르고 있는 생체인식 기술 중 인식률이 뛰어나고 신뢰성 있는 홍채인식 시스템을 구현하고자 한다. 구현을 위하여 신호처리 분야에서 주로 사용되는 wavelet변환으로 계수 특징 값 추출을 하였으며, 인식률을 알아보기 위하여 신경망 기법을 이용하고자 한다. 그러나 신경망 기법에서 주로 사용되는 비선형 최적화기법인 Scale Conjugate Gradient는 최적화 문제점을 해결하기에는 수렴속도가 느리기 때문에 적합하지 않다. 따라서 본 논문에서는 기존 Scale Conjugate Gradient를 보완한 Levenberg-Marquardt Back-Propagation을 홍채인식에 적용하여 구현함으로써 인식율을 높이고자 한다. 적용한 알고리즘 구현으로 해의 수렴정도, 변수 벡터의 변화정도에 따라 크기를 적절히 변화시킴으로써 수렴속도를 개선하고, 효율성과 안정성을 동시에 얻을 수 있었다.

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Iris Recognition System Using Back-Propagation and Higher Order Autocorrelation (신경망 학습과 Higher Order Autocorrelation을 이용한 홍채 인식 시스템)

  • Jeong Yu-Jeong;Jung Chai-Yeoung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.11a
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    • pp.895-898
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    • 2004
  • 본 논문에서는 기존의 개인 식별 방법의 한계를 해결하는 대안으로 떠오르고 있는 생체인식 기술 중 인식률이 뛰어난 홍채인식 시스템에 대해 연구하고자 한다. 먼저 홍채인식 시스템의 구현을 위해 신호처리 분야에서 많이 사용되고 있는 wavelet 변환 중 Haar wavelet과 고차 국소 자기 상관 특징을 이용하여 홍채의 특징을 추출하여 특징벡터의 크기를 최소화 하였다. 또, 인식률을 높이기 위해 오류 역전파 학습 알고리즘을 이용하여 홍채패턴에 기반한 신원 확인 및 검증을 위한 개선된 방법을 제시하였다. 학습이 완료된 신경망에 대한 학습데이터와 테스트 데이터의 인식률을 실험한 결과 학습된 데이터는 평균 인식률 $97.4\%$, 테스트 데이터는 $95.5\%$의 인식률을 보였다.

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A Novel On-line MRAS Rotor Resistance Identification of Induction Motor Using Magnitude of Rotor Flux (MRAS를 이용한 유도전동기의 새로운 실시간 회전자 저항 추정 기법)

  • Lee, Seung-Myung;Kang, Shin-Won;Kim, Rae-Young
    • Proceedings of the KIPE Conference
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    • 2015.07a
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    • pp.211-212
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    • 2015
  • 본 논문에서는 MRAS(Model Reference Adaptive System)을 이용한 유도 전동기의 회전자 저항을 추정하는 방법을 제안하였다. 슬립 계산은 회전자 저항 값과 연관되어 있기 때문에, 잘못된 회전자 저항 값 정보는 벡터제어의 동특성을 저하시킬 수 있다. 따라서 회전자 저항 값을 정확히 측정 또는 추정이 매우 중요하다. 본 논문에서는 회전자 자속의 크기 기반의 MRAS를 바탕으로 회전자 자속 전압 모델을 기준 모델로 구성하고 회전자 자속 전류 모델을 적응 모델로 구성하는 방법을 제안하였다. 제안한 방법은 두 모델 사이의 오차 신호를 영으로 수렴하도록 적응 메커니즘을 구성하여 회전자 저항 값을 추정한다. 본 논문에서는 시뮬레이션을 통하여 제안된 방법의 타당성을 검증하였다.

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A Study on the Speed Sensorless Vector Control for Induction Motor Adaptive Control Method using a High Frequency Boost Chopper of Hybrid Type Piezoelectric Transformer (하이브리드형 압전 변압기의 고주파 승압 초퍼를 이용한 적응제어기법 유도전동기 속도 센서리스 벡터제어에 관한 연구)

  • Hwang, Lark-Hoon;Na, Seung-Kwon;Kim, Yeong-Wook;Choi, Song-Shik
    • Journal of Advanced Navigation Technology
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    • v.17 no.3
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    • pp.332-345
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    • 2013
  • In this paper, recently, it is described to the piezoelectric transformer technology develops, because it was have to favorable characteristics such as electromagnetic-noise free, compact size, higher efficiency, and superior power density, flux linkage, noiseless, etc. its resonance frequency was used to output waveform of a sine wave. A rotor speed identification method of induction motor based on the theory of flux model reference adaptive system(FMRAS). The estimator execute the rotor speed identification so that the vector control of the induction motor may be achieved. The improved auxiliary variable of the model are introduced to perform accurate rotor speed estimation. The control system is composed of the PI controller for speed control and the current controller using space voltage vector PWM techniuqe and DC-DC converter. High speed calculation and processing for vector control is carried out by digital signal one chip microprocessor. Validity of the proposed control method is verified through simulation and experimental results.

An Improvement in Adaptive Estimation for a Tracking System with Additive Measurement Impulse noise (충격성 잡음이 혼입되는 추적계통의 적응 추정 개선)

  • 윤현보;박희창
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.12 no.5
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    • pp.519-526
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    • 1987
  • An adaptive estimation system which operates propoerly in the environments corrupted by additive impulse noise in addition to the white Gaussian noise has been proposed. A feed forward loop is inserted into the adaptive estimator proposed by R. L. Moose for a system with an unknown measurement bias by which the improved adaptive estimator is processed successfully without the sum of the time varying weights being zero even when the measurement system is added impulue noise. Successfully processed adaptive estimator has been obtained under the large impulse noise in addition to randomly varying unknown biases condition by giving sufficient large value to the elements of discrete vector on the computer simulation.

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Rotation and Scale Invariant Face Detection Using Log-polar Mapping and Face Features (Log-polar변환과 얼굴특징추출을 이용한 크기 및 회전불변 얼굴인식)

  • Go Gi-Young;Kim Doo-Young
    • Journal of the Institute of Convergence Signal Processing
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    • v.6 no.1
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    • pp.15-22
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    • 2005
  • In this paper, we propose a face recognition system by using the CCD color image. We first get the face candidate image by using YCbCr color model and adaptive skin color information. And we use it initial curve of active contour model to extract face region. We use the Eye map and mouth map using color information for extracting facial feature from the face image. To obtain center point of Log-polar image, we use extracted facial feature from the face image. In order to obtain feature vectors, we use extracted coefficients from DCT and wavelet transform. To show the validity of the proposed method, we performed a face recognition using neural network with BP learning algorithm. Experimental results show that the proposed method is robuster with higher recogntion rate than the conventional method for the rotation and scale variant.

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Compact and Broadband 90° Coupler Using a Metamaterial (메타 물질을 이용한 초소형, 광대역 90° 커플러)

  • Kim, Hong-Joon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.7
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    • pp.844-847
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    • 2012
  • By using LHTL(Left-Handed Transmission Line) which is a form of a metamaterial and conventional RHTL (Right-Handed Transmission Line), we designed, fabricated and tested a broadband $90^{\circ}$ coupler which is a basic circuit for I-Q vector signal generation. Synthetic LHTL and RHTL were implemented with capacitors and inductors only, that the size is minimized. Also, by implementing a Wilkinson power divider which is required for the suggested circuit using a synthetic RHTL, the size of whole circuit is only $11mm{\times}12mm$. For the frequency range 0.8~1.25 GHz, the phase difference at the outputs maintained $90^{\circ}{\pm}5^{\circ}$ and thus, a broadband $90^{\circ}$ coupler could be made in a compact form. for the same frequency range, the insertion loss is less than 1.6 dB and return loss is more than 10.1 dB. To the best of our knowledge, this is the smallest and broadband $90^{\circ}$ coupler for the frequency range and if the circuit is made with MMIC(Monolithic Microwave Integrated Circuit) technology, the size will be reduced much further.

Implementation of Acceleration Sensor-based Human activity and Fall Classification Algorithm (가속도 센서기반의 인체활동 및 낙상 분류를 위한 알고리즘 구현)

  • Hyun Park;Jun-Mo Park;Yeon-Chul, Ha
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.2
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    • pp.76-83
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    • 2022
  • With the recent development of IT technology, research and interest in various biosignal measuring devices is increasing. As an aging society is in full swing, research on the elderly population using IT-related technologies is continuously developing. This study is about the development of life pattern detection and fall detection algorithm, which is one of the medical service areas for the elderly, who are rapidly developing as they enter a super-aged society. This study consisted of a system using a 3-axis accelerometer and an electrocardiogram sensor, collected data, and then analyzed the data. It was confirmed that behavioral patterns could be classified from the actual research results. In order to evaluate the usefulness of the human activity monitoring system implemented in this study, experiments were performed under various conditions, such as changes in posture and walking speed, and signal magnitude range and signal vector magnitude parameters reflecting the acceleration of gravity of the human body and the degree of human activity. was extracted. And the possibility of discrimination according to the condition of the subject was examined by these parameter values.

On the Performance of Sample-Adaptive Product Quantizer for Noisy Channels (표본적응 프러덕트 양자기의 전송로 잡음에서의 성능 분석에 관한 연구)

  • Kim Dong Sik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.3 s.303
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    • pp.81-90
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    • 2005
  • When we transmit signals, which are quantized by the vector quantizer (VQ), through noisy channels, the overall performance of the coding system is very dependent on the employed quantization scheme and the channel error effect. In order to design an optimal coding system, the source and channel coding scheme should be jointly optimized as in the channel-optimized VQ. As a suboptimal approach, we may consider the robust VQ (RVQ). In RVQ, we consider developing an index assignment function for mapping the output of quantizers to channel symbols so that the effect of the channel errors is minimized. Recently, a VQ, which can reduce the encoding complexity and is called the sample-adaptive product quantizer (SAPQ), has been proposed. SAPQ has very similar quantizer structure as to the product quantizer (PQ). However, the quantization performance can be better than PQ. Further, the encoding complexity and the memory requirement for the codebooks are lower than the regular full-search VQ case. In this paper, SAPQ is employed in order to design an RVQ to channel errors by reducing the vector dimension. Discussions on the codebook structure of SAPQ and experiments are introduced in an aspect of robustness to noisy channels.