• 한국통신학회논문지
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• 제28권2C호
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• pp.181-192
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• 2003

통신 채널에서 블라인드 등화는 전송효율을 저하시키는 훈련신호나 채널의 사전 정보가 필요치 않은 장점 때문에 많은 연구가 진행되어 왔다. 선형예측을 이용한 블라인드 등화는 등화기의 차수 추정 오차에 강인하며 적응 알고리듬을 이용하여 효율적으로 구현할 수 있는 장점이 있다. 하지만 기존의 one-step 선형예측을 이용한 블라인드 등화기는 임의의 결정 지연에 대해서는 구현할 수 없는 단점이 있다. 본 논문에서는 SIMO 채널에서 one-step 순방향 선형예측 필터를 이용하여 임의의 결정 지연을 갖는 블라인드 등화기를 제안한다. 제안한 알고리듬은 순방향 추정 오차를 훈련신호로 사용하여 최적의 결정 지연을 갖는 블라인드 등화기를 구하였으며 모의실험을 통하여 본 논문에서 제안한 알고리듬의 성능을 확인하였다.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2011년도 한국우주과학회보 제20권1호
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• pp.30.2-30.2
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• 2011

In this report, we present in-orbit radiometric performance prediction for the Amon-Ra (Albedo Monitor and Radiometer) energy channel instrument. The Integrated Ray Tracing (IRT) computational technique uses the ray sets arriving at the Amon-Ra instrument aperture orbiting around the L1 halo orbit. Using this, the variation of flux arriving at the energy channel detector was obtained when the Amon-Ra instrument including the energy channel design observes the Sun and Earth alternately. The flux detectability was verified at the energy channel detector (LME-500-A, InfraTecTM). The detector time response and RMS signal voltage were then derived from the simulated flux variation results. The computation results demonstrate that the designed energy channel optical system satisfies the in-orbit detectability requirement. The technical details of energy channel instrument design, IRT model construction, radiative transfer simulation and output signal computation results are presented together with future development plan.

• Journal of Mechanical Science and Technology
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• 제20권10호
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• pp.1576-1589
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• 2006

Most of surface water ways in Egypt suffer from the infestation of aquatic weeds especially submerged ones which cause lots of problems for the open channels and the water structures such as increasing water losses, obstructing the water flow, and reducing the efficiency of the water structures. Accurate simulation of the water flow behavior in such channels is very essential for water distribution decision makers. Artificial Neural Network (ANN) has been widely utilized in the past ten years in civil engineering applications for the simulation and prediction of the different physical phenomena and has proven its capabilities in the different fields. The present study aims towards introducing the use of ANN technique to model and predict the impact of the existence of submerged aquatic weeds on the hydraulic performance of open channels. Specifically the current paper investigates utilizing the ANN technique in developing a simulation and prediction model for the flow behavior in an open channel experiment that simulates the existence of submerged weeds as branched flexible elements. This experiment was considered as an example for implementing the same methodology and technique in a real open channel system. The results of current manuscript showed that ANN technique was very successful in simulating the flow behavior of the pre-mentioned open channel experiment with the existence of the submerged weeds. In addition, the developed ANN models were capable of predicting the open channel flow behavior in all the submerged weeds' cases that were considered in the ANN development process.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2003년도 The Fifth Asian Computational Fluid Dynamics Conference
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• pp.191-192
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• 2003

A numerical method for a wave diffraction problem in three-dimensional channels is developed. The physical models are various shapes of channel connected to the open sea. When a ship or an offshore structure is moored in various configurations of channel connected to an open sea, the prediction of the hydrodynamic force exerting on the moored ship could be important for the prediction of its motion. It is assumed that the fluid is inviscid and incompressible and its motion is irrotational. From the continuity equation, the Laplace equation can be obtained as the governing equation. The surface tension at free surface is neglected, and wave amplitude is assumed to be small compared to the wave length. Then the free surface condition can be linearized. The numerical method used here is the localized finite element method based on a variational formulation

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권4호
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• pp.475-490
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• 2010

Cognitive Radio is an advanced enabling technology for the efficient utilization of vacant spectrum due to its ability to sense the spectrum environment. It is important to determine accurate spectrum utilization of the primary system in a cognitive radio environment. In order to define the spectrum utilization state, many CR systems use what is known as the quiet period (QP) method. However, even when using a QP, interference can occur. This causes reduced system throughput and contrary to the basic condition of cognitive radio. In order to reduce the interference time, a frequency-hopping algorithm is proposed here. Additionally, to complement the loss of throughput in the FH, a HMM-based channel prediction algorithm and a channel allocation algorithm is proposed. Simulations were conducted while varying several parameters. The findings show that the proposed algorithm outperforms conventional channel allocation algorithms.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 추계학술대회
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• pp.597-598
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• 2011

인지 무선 네트워크에서 제어 및 데이터 정보 전송을 위한 최적의 채널 선택 방법으로 주사용자의 트래픽 정보를 이용하여 유휴 채널 구간을 예측하는 기법을 제안하다. 채널예측을 통해 채널을 선택함으로서 주 사용자에 대한 충돌을 최소화하고 전송효율을 증가시킬 수 있다. 시뮬레이션 결과 제안한 방법이 시스템 수율을 향상시킴과 동시에 주사용자에 대한 간섭 또한 적정한 임계치 이하로 줄이는 것을 확인할 수 있었다.

• ETRI Journal
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• 제45권4호
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• pp.557-569
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• 2023

Traditional deterministic channel modeling is accurate in prediction, but due to its complexity, improving computational efficiency remains a challenge. In an alternative approach, we investigated a multilayer artificial neural network (ANN) to predict large-scale and small-scale channel characteristics in metro tunnels. Simulated high-precision training datasets were obtained by combining measurement campaign with a ray tracing (RT) method in a metro tunnel. Performance on the training data was used to determine the number of hidden layers and neurons of the multilayer ANN. The proposed multilayer ANN performed efficiently (10 s for training; 0.19 ms for prediction), and accurately, with better approximation of the RT data than the single-layer ANN. The root mean square errors (RMSE) of path loss (2.82 dB), root mean square delay spread (0.61 ns), azimuth angle spread (3.06°), and elevation angle spread (1.22°) were impressive. These results demonstrate the superior computing efficiency and model complexity of ANNs.

• 한국정보기술학회 영문논문지
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• 제6권1호
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• pp.45-57
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• 2016

This paper proposes an adaptive channel estimation scheme for OFDM-based IEEE 802.11ad wireless local area network (WLAN). The standard supports two types of information of OFDM packets for estimating the communication channels, which are the channel estimation field (CEF) of preamble and pilot subcarriers. The CEF-based channel estimation provides better BER (bit error rate) performance at slow fading channel state, whereas the pilot-based channel estimation is good at fast fading channel state. Hence, a combined channel estimation method is introduced to improve the performance. The prediction of the channel state to select the proper channel estimation method is required. In this work, an adaptive channel estimation scheme is also proposed to improve the performance of channel estimation (CE). Basing on a channel quality indicator (CQI), the proper channel estimation method corresponding to the channel type is decided.

• 한국통신학회논문지
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• 제32권5C호
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• pp.556-564
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• 2007

본 논문에서는 다중 채널 레이리 페이딩으로 인하여 발생하는 시변 채널 환경에서 효율적으로 채널을 추적할 수 있는 방식을 제안하였다. 제안된 적응 채널 추적 방식은 채널 변화를 추정하여 채널을 예측할 수 있으며 예측된 채널 응답을 이용하여 주파수 영역에서 다른 안테나로부터 수신되는 간섭 신호를 제거한다. 그 후 AWGN 성분을 줄이기 위하여 시간영역 채널 추정을 수행한다. 제안된 방식의 장점은 매 심벌 마다 채널 추적시 역행렬을 구할 필요가 없다. 시뮬레이션 결과는 기존의 채널 추적 방식보다 시변 채널 환경에서 더 나은 성능을 보였다. 도플러 주파수 300 Hz, BER = 10-3 조건에서 기존의 Li 방식 보다 약 2.5 dB 성능이 개선되었다. 도플러 주파수 600 Hz에서 기존 방식과 제안된 방식의 성능 차이는 더욱 커졌다.

• 한국통신학회논문지
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• 제32권7A호
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• pp.778-784
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• 2007

본 논문은 셀룰러 망에서 GSP와 같이 실시간 이동성을 파악할 수 있는 하드웨어를 탑재한 단말이 자신의 이동정보를 효율적으로 기지국에 전달하기 위하여 자신의 이동성 패턴을 인지하고 적절한 보고등록 알고리즘을 수행함으로써 핸드오프시 단말이 이동할 것으로 예상되는 목적 셀을 정확히 예측할 수 있는 방법을 제안한다. 특히 이동단말의 속도와 방향성에 따라서 이동성 패턴을 분류하고 이에 따른 적절한 보고등록 방법에 대하여 기술한다. 해당 알고리즘을 적용한 네트워크에서 단말은 이동정보 보고횟수와 핸드오프 호의 단절을 최소화하면서 동시에 무선자원의 사용 효율성을 증가시킬 수 있다. 우리는 시뮬레이션을 통해 제안된 방식이 기존의 방식보다 뛰어난 성능을 가져옴을 증명하였다.