• 제목/요약/키워드: correctness of estimation

검색결과 31건 처리시간 0.025초

A Joint Channel Estimation and Data Detection for a MIMO Wireless Communication System via Sphere Decoding

  • Patil, Gajanan R.;Kokate, Vishwanath K.
    • Journal of Information Processing Systems
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    • 제13권4호
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    • pp.1029-1042
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    • 2017
  • A joint channel estimation and data detection technique for a multiple input multiple output (MIMO) wireless communication system is proposed. It combines the least square (LS) training based channel estimation (TBCE) scheme with sphere decoding. In this new approach, channel estimation is enhanced with the help of blind symbols, which are selected based on their correctness. The correctness is determined via sphere decoding. The performance of the new scheme is studied through simulation in terms of the bit error rate (BER). The results show that the proposed channel estimation has comparable performance and better computational complexity over the existing semi-blind channel estimation (SBCE) method.

Landsat TM 영상자료를 이용한 평택지역의 토지피복 현황 및 분류정확도 평가 (Evaluation of Land Cover Classification of Pyeong-Taeg Area by Landsat Thematic Mapper Data)

  • 윤성탁;김선오;임상규
    • 한국농림기상학회지
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    • 제3권3호
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    • pp.163-170
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    • 2001
  • 본 연구는 평택 지역에 대한 Landsat TM 인공위성 자료를 이용하여 평택지역의 토지피복분류도를 만들고 DGPS, 항공사진, 지형도 등을 이용하여 보다 정확한 참조자료를 만들어 분류도의 정확성을 평가하고자 하였다. 논, 밭 등 12개 항목으로 분류하여 면적을 산출한 결과 1997년 6월 현재 평택시의 논면적은 16,157$\textrm{km}^2$, 밭면적은 4,949$\textrm{km}^2$로 나타났다. DGPS, 항공사진, 지형도 등을 이용하여 평가한 결과 간석지, 논, 물 및 바다 등이 90%의 정확도를 보였으며, 밭, 비닐, 산림, 초지, 촌락 등은 낮게 평가되었다. 전체 정확도는 85.8%로 비교적 양호하게 평가되었으며, 논의 경우 92%의 높은 정확도가 나와 원격탐사 자료의 효용성이 큼을 알 수 있었다. 해양, 수역, 도심지 등의 분류결과는 높게 나타났는데 반해 밭, 비닐하우스, 초지 등은 적은 면적으로 혼재되어 있기 때문에 분류 결과가 낮았다.

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An Adaptive Speed Estimation Method Based on a Strong Tracking Extended Kalman Filter with a Least-Square Algorithm for Induction Motors

  • Yin, Zhonggang;Li, Guoyin;Du, Chao;Sun, Xiangdong;Liu, Jing;Zhong, Yanru
    • Journal of Power Electronics
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    • 제17권1호
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    • pp.149-160
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    • 2017
  • To improve the performance of sensorless induction motor (IM) drives, an adaptive speed estimation method based on a strong tracking extended Kalman filter with a least-square algorithm (LS-STEKF) for induction motors is proposed in this paper. With this method, a fading factor is introduced into the covariance matrix of the predicted state, which forces the innovation sequence orthogonal to each other and tunes the gain matrix online. In addition, the estimation error is adjusted adaptively and the mutational state is tracked fast. Simultaneously, the fading factor can be continuously self-tuned with the least-square algorithm according to the innovation sequence. The application of the least-square algorithm guarantees that the information in the innovation sequence is extracted as much as possible and as quickly as possible. Therefore, the proposed method improves the model adaptability in terms of actual systems and environmental variations, and reduces the speed estimation error. The correctness and the effectiveness of the proposed method are verified by experimental results.

A Novel Speed Estimation Method of Induction Motors Using Real-Time Adaptive Extended Kalman Filter

  • Zhang, Yanqing;Yin, Zhonggang;Li, Guoyin;Liu, Jing;Tong, Xiangqian
    • Journal of Electrical Engineering and Technology
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    • 제13권1호
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    • pp.287-297
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    • 2018
  • To improve the performance of sensorless induction motor (IM) drives, a novel speed estimation method based on the real-time adaptive extended Kalman filter (RAEKF) is proposed in this paper. In this algorithm, the fuzzy factor is introduced to tune the measurement covariance matrix online by the degree of mismatch between the actual innovation and the theoretical. Simultaneously, the fuzzy factor can be continuously self-tuned tuned by the fuzzy logic reasoning system based on Takagi-Sugeno (T-S) model. Therefore, the proposed method improves the model adaptability to the actual systems and the environmental variations, and reduces the speed estimation error. Furthermore, a simple exponential function based on the fuzzy theory is used to reduce the computational burden, and the real-time performance of the system is improved. The correctness and the effectiveness of the proposed method are verified by the simulation and experimental results.

무선 TCP 성능증대를 위한 향상된 대역폭 측정 방법 (Enhanced Bandwidth Estimation for TCP Westwood)

  • 강문수;신석주
    • 인터넷정보학회논문지
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    • 제9권6호
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    • pp.179-188
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    • 2008
  • 무선망에서 TCP의 성능을 증대시키기 위한 많은 연구가 진행되어 왔지만 패킷 손실률이 큰 경우, TCP의 성능은 아직도 개선의 여지가 많다. 본 논문은 무선 TCP의 한 종류인 TCP Westwood에서 랜덤 패킷 손실률이 높을 때 성능이 저하되는 문제를 지적하고 그 원인을 분석하였다. TCP Westwood의 성능 저하는 랜덤 패킷 손실률이 증가할수록, TCP Westwood의 가용 대역폭 측정(Available Bandwidth Estimation)의 정확도가 떨어지기 때문이다. 분석된 원인을 바탕으로 2가지의 향상된 가용대역폭 측정방법을 제안하고 그 성능을 시뮬레이션을 통해 확인하였다. 제안된 방법들은 무선 네트워크가 겪을 수 있는 랜덤패킷 손실률 1% 이내에서 기존방법에 비해 대역폭 측정의 정화도가 향상되었다.

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Probabilistic Power Flow Studies Incorporating Correlations of PV Generation for Distribution Networks

  • Ren, Zhouyang;Yan, Wei;Zhao, Xia;Zhao, Xueqian;Yu, Juan
    • Journal of Electrical Engineering and Technology
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    • 제9권2호
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    • pp.461-470
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    • 2014
  • This paper presents a probabilistic power flow (PPF) analysis method for distribution network incorporating the randomness and correlation of photovoltaic (PV) generation. Based on the multivariate kernel density estimation theory, the probabilistic model of PV generation is proposed without any assumption of theoretical parametric distribution, which can accurately capture not only the randomness but also the correlation of PV resources at adjacent locations. The PPF method is developed by combining the proposed PV model and Monte Carlo technique to evaluate the influence of the randomness and correlation of PV generation on the performance of distribution networks. The historical power output data of three neighboring PV generators in Oregon, USA, and 34-bus/69-bus radial distribution networks are used to demonstrate the correctness, effectiveness, and application of the proposed PV model and PPF method.

Design and Implementation of an Adaptive Sliding-Mode Observer for Sensorless Vector Controlled Induction Machine Drives

  • Zhang, Yanqing;Yin, Zhonggang;Liu, Jing;Tong, Xiangqian
    • Journal of Electrical Engineering and Technology
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    • 제13권3호
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    • pp.1304-1316
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    • 2018
  • An adaptive sliding-mode observer for speed estimation in sensorless vector controlled induction machine drives is proposed in this paper to balance the dilemma between the requirement of fast reaching transient and the chattering phenomenon reduction on the sliding-mode surface. It is well known that the sliding-mode observer (SMO) suffers from the chattering phenomenon. However, the reduction of the chattering phenomenon will lead to a slow transient process. In order to balance this dilemma, an adaptive exponential reaching law is introduced into SMO by optimizing the reaching way to the sliding-mode surface. The adaptive exponential reaching law is based on the options of an exponential term that adapts to the variations of the sliding-mode surface and system states. Moreover, the proposed sliding-mode observer considering adaptive exponential reaching law, which is called adaptive sliding-mode observer (ASMO), is capable for reducing the chattering phenomenon and decreasing the reaching time simultaneously. The stability analysis for ASMO is achieved based on Lyapunov stability theory. Simulation and experimental results both demonstrate the correctness and the effectiveness of the proposed method.

신경망을 이용한 고립단어에서의 피치변화곡선 발생기에 관한 연구 (A Study on the Pitch Contour Generator with Neural Network in the Isolated Words)

  • 임운천;곽진구;장석왕
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 1996년도 2월 학술대회지
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    • pp.137-155
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    • 1996
  • The purpose of this paper is to generate a pitch contour which is affected by tile phonetic environment and the number of syllables in each Korean isolated word using a neural network. To do this, we analyzed a set of 513 Korean isolated words, consisting of 1-4 syllables and extracted the pitch contour and the duration of each phoneme in all the words. The total number of phonemes we analyzed is about 3800. After that we approximated the pitch contour with a 1st order polynominal by a regression analysis. We could get the slope, the initial pitch and the duration of each phoneme. We used these 3 parameters as the target pattern of the neural network and let the neural network learn the rule of the variation of the pitch and duration, which was affected by the phonetic environment of each phoneme. We used 7 consecutive phoneme strings as an input pattern for a neural network to make the network learn the effect of phonetic environment around the center phoneme. In the learning phase, we used 3545 items(463 words) as target patterns which contained the phonetic environment of front and rear 3 phonemes and the neural network showed the correctness rate of 98.43%, 98.59%, 97.7% in the estimation of the duration, the slope, the initial pitch. In the recall phase, we tested the performance of tile neural network with 251 items(50 words) which weren't need as learning data and we could get the good correctness rate of 97.34%, 95.45%, 96.3% in the generation of the duration, the slope, and the initial pitch of each phoneme.

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간접촬영용 X-선 발생장치 성능 평가 (An ability test for the use of indirect radiographic unit)

  • 임인철
    • 대한방사선기술학회지:방사선기술과학
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    • 제27권4호
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    • pp.37-41
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    • 2004
  • 목 적 : 측정을 통한 장치의 성능관리 평가로 임상실무에서의 능력배양과 정확한 관전압, 조사시간, 출력선량을 측정하는 기술을 익히고 병원에서 사용 중인 간접촬영용 X-선 발생장치 성능현황을 파악하기 위함이다. 재료 및 방법 : 관전압, 조사시간, 출력선량 측정기를 이용하여 10개 대학병원 간접촬영용 X-선 발생장치(원내,외 각 10대)를 이용하였다. 결 과 : 관전압 정확도 시험 PAE 판정에 의해 부적합한 간접촬영기는 3대가 나왔으며, 조사시간의 정확도 시험에서는 2대, 또한 조사선량의 재현성 시험에서도 조사선량에 대한 변동계수를 계산한 결과 3대가 나왔다. 3가지 성능검사에서 원외(이동차량)의 부적합한 간접촬영기는 5대, 원내는 3대로 원외(이동차량)의 간접촬영기가 원내보다 부적합한 것이 높게 나타났다. 결 론 : 간접촬영기의 성능을 일정하게 유지함으로서 방사선 피폭경감, 화질관리, 재촬영 감소 등에 의해 환자에게 양질의 의료서비스를 제공할 수 있는 여건을 마련할 수 있을 것이다. 따라서 정기적인 성능검사가 필요하다고 사료된다.

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Time-domain hydroelastic analysis with efficient load estimation for random waves

  • Kang, H.Y.;Kim, M.H.
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제9권3호
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    • pp.266-281
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    • 2017
  • Hydroelastic interactions of a deformable floating body with random waves are investigated in time domain. Both hydroelastic motion and structural dynamics are solved by expansion of elastic modes and Fourier transform for the random waves. A direct and efficient structural analysis in time domain is developed. In particular, an efficient way of obtaining distributive loads for the hydrodynamic integral terms including convolution integral by using Fubini theory is explained. After confirming correctness of respective loading components, calculations of full distributions of loads in random waves are expedited by reformulating all the body loading terms into distributed forms. The method is validated by extensive convergence tests and comparisons against the counterparts of the frequency-domain analysis. Characteristics of motion/deformation responses and stress resultants are investigated through a parametric study with varying bending rigidity and types of random waves. Relative contributions of componential loads are identified. The consequence of elastic-mode resonance is underscored.