• Title/Summary/Keyword: 모의훈련

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Symbol timing Offset Estimation for OFDM Using the 1 Symbol Offset Training Symbol and Controled CP Power (OFDM의 심벌 타이밍 옵셋 추정을 위한 1심벌 옵셋의 훈련심벌 사용법과 CP 출력조절법)

  • Ock, Youn Chul;Ha, Yeong Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.12
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    • pp.3-13
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    • 2013
  • This paper contains two algorithms proposed for synchronization in OFDM system. The first is having 1 symbol offset while calculating the timing metric, and the second is introduced in new parameter such as Reduction Factor(${\rho}$), Break Constant(${\beta}_k$) and Implant Depth(${\delta}_I$) in order to control the power of CP(Cyclic Prefix) area. Two proposed method are evaluated performance with conventional methode, and than the result of simulation show proposed methods is better than conventional methode while it experience into multipath fading channel.

Motion Search Region Prediction using Neural Network Vector Quantization (신경 회로망 벡터 양자화를 이용한 움직임 탐색 영역의 예측)

  • Ryu, Dae-Hyun;Kim, Jae-Chang
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.1
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    • pp.161-169
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    • 1996
  • This paper presents a new search region prediction method using vector quantization for the motion estimation. We find motion vectors using the full search BMA from two successive frame images first. Then the motion vectors are used for training a codebook. The trained codebook is the predicted search region. We used the unsupervised neural network for VQ encoding and codebook design. A major advantage of formulating VQ as neural networks is that the large number of adaptive training algorithm that are used for neural networks can be applied to VQ. The proposed method reduces the computation and reduce the bits required to represent the motion vectors because of the smaller search points. The computer simulation results show the increased PSNR as compared with the other block matching algorithms.

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An adaptive data precompensator for compensation of nonlinear distortion in OFDM systems (OFDM 시스템에서의 비선형 왜곡 보상을 위한 적응 데이터 사전 보상기)

  • 전원기;장경희;조용수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.1
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    • pp.40-52
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    • 1997
  • It has been known that the OFDM-based terrestrial broadcasting systems are significantly more sensitive to nonlinear distortion in high-power amplifiers (HPA's) than the broadcasting systems using single-carrier modulation technique. In this paper, an adaptive precompensator which can compensate the nonlinear effect of the HPA for OEDM systems is proposed. The proposed precompensator consists of a compensation table, realized by memory (RAM), and an adaptive algorithm which can update the values of the compensation table more efficiently using a

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Performance Comparison of Space Time block coded Frequency Domain Equalization transmission Scheme in Underwater Acoustic Communication Channel (수중음향 통신채널 환경에서 시공간 블록부호를 적용한 주파수영역 등화기법의 성능평가)

  • Hwang, Hoseon;Lee, Seokwoo;Kang, Yeongsik;Choi, Jaehoon
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.4
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    • pp.177-185
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    • 2019
  • In this paper, we propose and evaluate a FDE combined with STBC transmission structure to cancellation of ISI in underwater acoustic communication. To achieve this purpose, underwater acoustic channels are modeled and the simulation results are presented. In case of STBC-FDE, the transmission rate is less about 4% than STBC-OFDM, but the SER performance is better than STBC-OFDM that is larger from 4.4% to 16.8% at the SNR of 15dB than STBC-OFDM.

Face Recognition Method using Geometric Feature and PCA/LDA in Wavelet Domain (웨이브릿 영역에서 기하학적 특징과 PCA/LDA를 사용한 얼굴 인식 방법)

  • 송영준;김영길
    • The Journal of the Korea Contents Association
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    • v.4 no.3
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    • pp.107-113
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    • 2004
  • This paper improved the performance of the face recognition system using the PCA/LDA hybrid method based on the facial geometric feature and the Wavelet transform. Because the previous PCA/LDA methods have measured the similarity according to the formal dispersion, they could not reflect facial boundaries exactly In order to recover this defect, this paper proposed the method using the distance between eyes and mouth. If the difference of the measured distances on the query and the training images is over the given threshold, then the method reorders the candidate images according to energy feature vectors of eyes, a nose, and a chin. To evaluate the performance of the proposed method the computer simulations have been performed with four hundred facial images in the ORL database. The results showed that our method improves about 4% recognition rate over the previous PCA/LDA method.

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Timing Synchronization with Channel Impulse Response in OFDM Systems (채널 임펄스 응답을 이용한 OFDM 시스템 시간 동기)

  • Kang, Eun-Su;Han, Dong-Seog
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.7 s.361
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    • pp.53-58
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    • 2007
  • OFDM (orthogonal frequency division multiplexing) is an effective modulation technique for high speed transmission over fading channels. However, it has a high bit error rate in the receiver if there is an error on frame synchronization because of phase rotation. A coherent OFDM system has to acquire exact timing synchronization of fraction and integer sampling positions. When a sampling offset exist the performance of a receiver will be degraded severely. In this paper, we propose an algorithm that acquires the fractional sampling offset in OFDM systems. This scheme compares the channel impulse responses with the early and late sampled signals having 0.5 sample offset from the estimated sampling positions by correlation with the received and training samples. Its performance is verified by computer simulations in multipath channels.

An efficient Channel Estimation Technique for Space-Time Coded OFDM Systems (시.공간 부호화된 OFDM 시스템의 효율적인 채널추정기법)

  • Jeon, Won-Gi;Baek, Gyeong-Hyeon;Jo, Yong-Su
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.8B
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    • pp.1499-1509
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    • 2000
  • In this paper, we propose an efficient channel estimation technique for space-time coded orthogonal frequency-division multiplexing (OFDM) systems with transmitter and receiver diversity. The proposed technique estimates uniquely all channel frequency responses needed in a decoder of space-time coded OFDM systems using "comb-type" raining symbols. The computational complexity of the proposed technique is reduced dramatically, compared with the previous minimum mean-squared error (MMSE) technique, due to the processing is made all in the frequency-domain. Also, several other techniques for mitigating random noise effect and tracking channel variation are discussed to further improve the performance of the proposed approach. The performances of the proposed approach are demonstrated by computer simulation for mobile wireless channels. channels.

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The modified adaptive blind stop-and-go algorithm for application to multichannel environment (다중 채널 환경에 적용을 위한 변형된 적응 블라인드 stop-and-go 알고리듬)

  • 정길호;김주상;변윤식
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.4
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    • pp.884-892
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    • 1996
  • An adaptive blind equalizer is used to combat the distortions caused by a nonideal channel without resorting to a training sequence, given the received signal and statistical information of the transmitted signal. Incidentally, a multipath channel may result in a fade which produces intersymbol interference in the received signal. Therefore, a new type of algorithm which can compenste the effects of this fade is required in the multipath channel environment. In this paper, a modified form of adaptive blind equalization algorithm using stop-and-go algorithm for multichannel system is proposed. It is demonstrated via computer simulations that the performance of the proposed multichannel stop-and-go algorithm is much better than that of the conventional multichannel algorithms.

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Improving dam inflow prediction in LSTM-s2s model with luong attention (Attention 기법을 통한 LSTM-s2s 모델의 댐유입량 예측 개선)

  • Jonghyeok Lee;Yeonjoo Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.226-226
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    • 2023
  • 하천유량, 댐유입량 등을 예측하기 위해 다양한 Long Short-Term Memory (LSTM) 방법들이 활발하게 적용 및 개발되고 있다. 최근 연구들은 s2s (sequence-to-sequence), Attention 기법 등을 통해 LSTM의 성능을 개선할 수 있음을 제시하고 있다. 이에 따라 본 연구에서는 LSTM-s2s와 LSTM-s2s에 attention까지 첨가한 모델을 구축하고, 시간 단위 자료를 사용하여 유입량 예측을 수행하여, 이의 실제 댐 운영에 모델들의 활용 가능성을 확인하고자 하였다. 소양강댐 유역을 대상으로 2013년부터 2020년까지의 유입량 시자료와 종관기상관측기온 및 강수량 데이터를 학습, 검증, 평가로 나누어 훈련한 후, 모델의 성능 평가를 진행하였다. 최적 시퀀스 길이를 결정하기 위해 R2, RRMSE, CC, NSE, 그리고 PBIAS을 사용하였다. 분석 결과, LSTM-s2s 모델보다 attention까지 첨가한 모델이 전반적으로 성능이 우수했으며, attention 첨가 모델이 첨두값 예측에서도 높은 정확도를 보였다. 두 모델 모두 첨두값 발생 동안 유량 패턴을 잘 반영하였지만 세밀한 시간 단위 변화량 패턴 모의에는 한계가 있었다. 시간 단위 예측의 한계에도 불구하고, LSTM-s2s에 attention까지 추가한 모델은 향후 댐유입량 예측에 활용될 수 있을 것으로 판단한다.

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Estimation of spatial soil moisture using Sentinel-1 SAR images and ANN considering antecedent precipitation (선행강우를 고려한 Sentinel-1 SAR 위성영상과 ANN을 활용한 공간 토양수분 산정)

  • Chung, Jeehun;Lee, Yonggwan;Son, Moobeen;Han, Daeyoung;Kim, Seongjoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.117-117
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    • 2021
  • 본 연구에서는 Sentinel-1A/B C-band SAR(Synthetic Aperture Radar) 위성영상을 기반으로 인공신경망(Artificial Neural Network, ANN) 모형을 활용해 금강 유역 상류 40×50 km2 면적에 대한 토양수분을 산정하였다. 10 m 공간 해상도의 Sentinel-1A/B SAR 영상은 8일 간격으로 2015년부터 2019년까지 5년 동안 구축하였고, SNAP(SentiNel Application Platform)을 통해 기하 보정, 방사 보정 및 잡음(Noise) 보정을 수행하고 VV 및 VH 편파 후방산란계수로 변환하였다. ANN 모형 검증자료로 TDR(Time Domain Reflectometry)로 측정된 9개 지점의 실측 토양수분 자료를 구축하였으며, 수문학적 개념인 선행강우를 고려하기 위해 동지점에 대한 강수량 자료를 구축하였다. ANN은 각 지점에 해당하는 토양 속성별로 모델링하고, 전체 기간 및 계절별로 나누어 모의하였으며, 전체 자료의 60%와 40%를 각각 훈련 및 테스트 데이터로 사용하였다. 산정된 토양수분은 상관계수(Correlation Coefficient, R)와 평균제곱근오차(Root Mean Square Error, RMSE)를 활용하여 검증을 수행할 예정이다.

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