• 제목/요약/키워드: Moving Least Square

검색결과 125건 처리시간 0.024초

Virtual Subcarrier-Based Adaptive Channel Estimation Scheme of IEEE 802.11p-Based WAVE Communication System

  • Song, Mihwa;Kang, Seong-In;Lee, Won-Woo
    • Journal of information and communication convergence engineering
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    • 제18권2호
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    • pp.88-93
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    • 2020
  • The IEEE 802.11p-based wireless access in vehicular environments (WAVE) [1] communication is a method used exclusively for wireless communication on the road. This technique enables information sharing not only among moving vehicles but also between vehicles and infrastructure [2]. As part of WAVE communication, data is transmitted to and from vehicles in motion; in this case, it is difficult to determine the channel accurately in an outdoor environment owing to the Doppler shift [3]. This paper proposes a new channel estimation scheme for enhancing the reception performance of the IEEE 802.11p-based WAVE system. The proposed technique obtains the initial channel value by estimating the least square in the time domain by inserting a pilot signal for channel estimation into the IEEE 802.11p virtual subcarrier. Subsequently, a least mean square algorithm is applied to the initial channel value to update the estimated channel value. The simulation results obtained using the proposed channel estimation technique confirm its remarkable efficiency.

대부하 표적 지향시스템의 안정화 성능향상을 위한 외란보상 적응제어 (Adaptive Disturbance Compensation Control for Heavy Load Target Aiming Systems to Improve Stabilization Performances)

  • 임재근;최영준;유준;석호동;김병운;강민식
    • 한국소음진동공학회논문집
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    • 제15권11호
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    • pp.1303-1310
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    • 2005
  • Stabilization error of target aiming systems mounted on moving vehicles is an important performance because the error directly affects hit Probability. In a heavy load targetaiming system, the disturbance torque comes from mass unbalance and linear acceleration is a main source of stabilization error. This study suggests an experimental design method of disturbance feedforward compensation control to improve the stabilization performance of heavy load target aiming systems. The filtered_x least square(FxLMS) algorithm is used to estimate the compensator coefficients adaptively. The proposed control is applied to a simple experimental set-up which simulates dynamic characteristics of a real target aiming system. The feasibility of the proposedtechnique is illustrated, along with results of experiments.

도플러 효과를 기반으로한 내부 소음원의 3차원 위치 추정 (3D localization of internal noise source based on Doppler effect)

  • 배정호;성우제;이근화
    • 한국음향학회지
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    • 제35권4호
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    • pp.310-318
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    • 2016
  • 본 연구는 해상 운항체에서 발생하는 소음원의 위치를 3차원적으로 추정하는 방법에 대해 다루었다. 해상 운항체인 선박이나 잠수함의 내부에 존재하는 소음원과 같이 근접이 어려운 경우라도 상대적으로 이동한다면 외부의 수중청음기에 수신된 신호는 도플러 효과가 발생한다. 본 연구에서는 이동 물체에 의한 도플러 효과를 바탕으로 소음원의 3차원 위치 추정 알고리즘을 제안하였다. 해상 운항체의 알고 있는 위치에 추가의 음원을 설치하여 예상되는 도플러 중심의 범위와 최단 접근점의 범위를 점차 줄여가며 최소자승법을 통하여 내부 소음원의 위치를 추정하였다. 알고리즘을 통해 계산한 값과 이론값을 비교하여 효용성을 입증하였으며, 수치시험을 통해 고정된 두 개의 외부 수중청음기와 음원 역할을 하는 수중체에 고정시킨 한 개의 신호발생기로 도플러 효과를 기반으로한 소음원의 3차원 위치 추정이 가능함을 증명하였다.

MLS 차분법의 결정 변수에 따른 정확도 분석 및 혼합변분이론을 통한 미분근사 성능향상 (On the Improvement of the Accuracy of Higher Order Derivatives in the MLS(Moving Least Square) Difference Method via Mixed Formulation)

  • 김현영;김준식
    • 한국전산구조공학회논문집
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    • 제33권5호
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    • pp.279-286
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    • 2020
  • 본 연구에서는 점근해석 및 논로컬 이론에서 요구하는 4차 이상의 고차 미분근사를 수행하기 위하여 계방정식에 혼합변분이론을 적용하여 MLS 차분법으로부터 구해지는 고차 미분근사의 정확도를 큰 폭으로 향상시킨다. 또한, MLS 차분법에 존재하는 세 가지 조건변수에 따른 고차미분근사의 정확도를 비교·분석한다. 혼합변분이론의 합응력을 후처리하여 변위의 미분을 근사할 경우 기존의 변위장 기반 계방정식의 차분 결과에 비해 미분 차수가 2차 낮아진다. 해석 범위내 절점 수가 과도하게 많거나 기저 차수가 클 경우 MLS 차분법의 영향영역 내에서 과적합(overfitting)이 발생한다. 또한 영향영역이 최적 범위 이상으로 넓어질 경우 근사의 정확도가 떨어진다. 위 내용을 사인 하중을 받는 단순지지보 수치예제로부터 확인하였다.

단파효과를 고려한 단기전력 부하예측 (Short-term Electric Load Prediction Considering Temperature Effect)

  • 박영문;박준호
    • 대한전기학회논문지
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    • 제35권5호
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    • pp.193-198
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    • 1986
  • In this paper, 1-168 hours ahead load prediction algorithm is developed for power system economic weekly operation. Total load is composed of three components, which are base load, week load and weather-sensitive load. Base load and week load are predicted by moving average and exponential smoothing method, respectively. The days of moving average and smoothing constant are optimally determined. Weather-sensitive load is modeled by linear form. The paramiters of weather load model are estimated by exponentially weighted recursive least square method. The load prediction of special day is very tedious, difficult and remains many problems which should be improved. Test results are given for the day of different types using the actual load data of KEPCO.

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경매 시스템에서 시계열 분석에 기반한 낙찰 예정가 추천 방법 (Reserve Price Recommendation Methods for Auction Systems Based on Time Series Analysis)

  • 고민정;이용규
    • Journal of Information Technology Applications and Management
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    • 제12권1호
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    • pp.141-155
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    • 2005
  • It is very important that sellers provide reasonable reserve prices for auction items in internet auction systems. Recently, an agent has been proposed to generate reserve prices automatically based on the case similarity of information retrieval theory and the moving average of time series analysis. However, one problem of the previous approaches is that the recent trend of auction prices is not well reflected on the generated reserve prices, because it simply provides the bid price of the most similar item or an average price of some similar items using the past auction data. In this paper. in order to overcome the problem. we propose a method that generates reserve prices based on the moving average. the exponential smoothing, and the least square of time series analysis. Through performance experiments. we show that the successful bid rate of the new method can be increased by preventing sellers from making unreasonable reserve prices compared with the previous methods.

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Computational explosion in the frequency estimation of sinusoidal data

  • Zhang, Kaimeng;Ng, Chi Tim;Na, Myunghwan
    • Communications for Statistical Applications and Methods
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    • 제25권4호
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    • pp.431-442
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    • 2018
  • This paper highlights the computational explosion issues in the autoregressive moving average approach of frequency estimation of sinusoidal data with a large sample size. A new algorithm is proposed to circumvent the computational explosion difficulty in the conditional least-square estimation method. Notice that sinusoidal pattern can be generated by a non-invertible non-stationary autoregressive moving average (ARMA) model. The computational explosion is shown to be closely related to the non-invertibility of the equivalent ARMA model. Simulation studies illustrate the computational explosion phenomenon and show that the proposed algorithm can efficiently overcome computational explosion difficulty. Real data example of sunspot number is provided to illustrate the application of the proposed algorithm to the time series data exhibiting sinusoidal pattern.

An efficient robust cost optimization procedure for rice husk ash concrete mix

  • Moulick, Kalyan K.;Bhattacharjya, Soumya;Ghosh, Saibal K.;Shiuly, Amit
    • Computers and Concrete
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    • 제23권6호
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    • pp.433-444
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    • 2019
  • As rice husk ash (RHA) is not produced in controlled manufacturing process like cement, its properties vary significantly even within the same lot. In fact, properties of Rice Husk Ash Based Concrete (RHABC) are largely dictated by uncertainty leading to huge deviations from their expected values. This paper proposes a Robust Cost Optimization (RCO) procedure for RHABC, which minimizes such unwanted deviation due to uncertainty and provides guarantee of achieving desired strength and workability with least possible cost. The RCO simultaneously minimizes cost of RHABC production and its deviation considering feasibility of attaining desired strength and workability in presence of uncertainty. RHA related properties have been modeled as uncertain-but-bounded type as associated probability density function is not available. Metamodeling technique is adopted in this work for generating explicit expressions of constraint functions required for formulation of RCO. In doing so, the Moving Least Squares Method is explored in place of conventional Least Square Method (LSM) to ensure accuracy of the RCO. The efficiency by the proposed MLSM based RCO is validated by experimental studies. The error by the LSM and accuracy by the MLSM predictions are clearly envisaged from the test results. The experimental results show good agreement with the proposed MLSM based RCO predicted mix properties. The present RCO procedure yields RHABC mixes which is almost insensitive to uncertainty (i.e., robust solution) with nominal deviation from experimental mean values. At the same time, desired reliability of satisfying the constraints is achieved with marginal increment in cost.

LTE-A 하향링크 시스템을 위한 새로운 FFT 기반 채널 추정 기법 (FFT-based Channel Estimation Scheme in LTE-A Downlink System)

  • 문상미;추명훈;김한종;김대진;황인태
    • 전자공학회논문지
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    • 제53권3호
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    • pp.11-20
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    • 2016
  • 본 논문에서는 LTE-A (Long Term Evolution-Advanced) 하향링크 시스템을 위한 채널 추정 기법을 제안한다. 제안 기법은 빠른 속도로 움직이는 사용자의 채널 추정이 가능하도록 FFT (Fast Fourier Transform) 보간 기법을 사용한다. FFT 보간 기법은 LS (Least Square) 또는 MMSE (Minimum Mean Square Error) 채널 추정으로부터 얻은 채널 주파수 응답을 IFFT (Inverse FFT)를 거쳐 시간 영역 채널 임펄스 응답으로 변환한다. 시간 영역의 채널 응답을 윈도잉을 한 후, FFT를 하여 채널 주파수 응답을 구할 수 있다. 시스템 레벨 시뮬레이션은 3GPP LTE-A 하향링크 시스템의 20MHz 대역을 기반으로 이루어졌으며, 모의실험 결과 제안한 채널 추정 기법을 통해 기존 시스템보다 SINR (Signal-to-Noise-plus-Interference Ratio), 전송률 및 스펙트럼 효율 측면에서 성능 향상을 가져다주는 것을 확인하였다.

버블패킹기법을 이용한 무요소 갤러킨법에 관한 연구 (Study On The Element Free Galerkin Method Using Bubble Packing Technique)

  • 정순완;최유진;김승조
    • 대한기계학회논문집A
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    • 제24권10호
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    • pp.2469-2476
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    • 2000
  • The meshing of the domain has long been the major bottleneck in performing the finite element analysis. Research efforts which are so-called meshfree methods have recently been directed towards eliminating or at least easing the requirement for meshing of the domain. In this paper, a new meshfree method for solving nonlinear boundary value problem, based on the bubble packing technique and Delaunay triangle is proposed. The method can be efficiently implemented to the problems with singularity by using formly distributed nodes.