• Title/Summary/Keyword: 성능추정

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Channel Estimation for OFDM-based Cellular Systems Using a DEM Algorithm (OFDM 기반 셀룰라 시스템에서 DEM 알고리듬을 이용한 채널추정 기법)

  • Lee, Kyu-In;Woo, Kyung-Soo;Yi, Joo-Hyun;Yun, Sang-Boh;Cho, Yong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.7C
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    • pp.635-643
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    • 2007
  • In this paper, a decision-directed expectation maximization (DEM) algorithm is proposed to improve the performance of channel estimation in OFDM-based cellular systems. The DEM algorithm enables a mobile station (MS) with multiple antennas, located at the cell boundary, to increase the performance of channel estimation using transmit data, without decreasing spectral efficiency. Also, DEM algorithm can apply fast fading without loss of channel estimation performance because that includes channel variation factor in a group. It is verified by computer simulation that the DEM algorithm can reduce computational complexity significantly while improving the performance of channel estimation in fast fading channels, compared with the expectation maximization (EM) algorithm.

A Study on the Prediction of the Maneuverability of Ships at Initial Design Stage, Considering Stern Form (초기설계시 선박의 선미 형상을 고려한 조종성능 추정에 관한 연구)

  • Seung-Keon Lee;Jae-Young Choi;Yeong-Seok Seo;Woo-Jin Lee
    • Journal of the Society of Naval Architects of Korea
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    • v.36 no.2
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    • pp.72-76
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    • 1999
  • To predict the maneuverabiliy of a ship, it is most reliable to carry out the model tests for the ship. But, at the initial design stage of ships, scene other methods of predicting the overall maneuverabiliy of ships with confined data, like principal dimensions and propeller and rudder characteristics, are required. In this paper, the authors suggested new formulas for the linear derivatives of the sway force and yaw moment, based on the captive model test carried out by the Japanese researchers. These formulas can account the effects of stern frame line shape and stern profile, when assessing the maneuverability of ships. The usefulness of the formulas are discussed by comparing the simulations with the model tests.

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Improvement of Prediction Technique of the Ship′s Manoeuvrability at Initial Design Stage (초기 설계단계에서 선박조종성능 추정에 대한 정도향상 연구)

  • Ho-Young Lee;Sang-Sung Shin;Deuk-Joon Yum
    • Journal of the Society of Naval Architects of Korea
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    • v.35 no.1
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    • pp.46-53
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    • 1998
  • In this paper, we studied to improve Inoue's[1] and Kijima's[2] model used to predict ship's manoeuvrability at initial design state. To perform this work, we carried out PMM(Planar motion Mechanism) test and rudder open water test for 12 models of low-speed blunt-ship which have horn type rudders and bulbs in afterbody. As we adopted MMG(Mathematical Modelling Group) model, we could analyze hydrodynamic and MMG experimental coefficients. The regression analyses by principle parameters were carried out for hydrodynamic and MMG experimental coefficients. The regression analyses by principle parameters were carried out for hydrodynamic and MMG experimental coefficients and the equations by regression analysis wee used to search sensitivities and to estimate ship's manoeuvrability. We had simulated ship's manoeuvrability to check revised MMG.

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A Gompertz Model for Software Cost Estimation (Gompertz 소프트웨어 비용 추정 모델)

  • Lee, Sang-Un
    • The KIPS Transactions:PartD
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    • v.15D no.2
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    • pp.207-212
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    • 2008
  • This paper evaluates software cost estimation models, and presents the most suitable model. First, we transformed a relevant model into variables to make in linear. Second, we evaluated model's performance considering how much suitable the cost data of the actual development software was. In the stage of model performance evaluation criteria, we used MMRE which is the relative error concept rather than the absolute error. Existing software cost estimation model follows Weibull, Gamma, and Rayleigh function. In this paper, Gompertz function model is suggested which is a kind of growth curve. Additionally, we verify the compatability of other different growth curves. As a result of evaluation of model's performance, Gompertz function was considered to be the most suitable for the cost estimation model.

Target Localization for DIFAR Sonobuoy compensated Bearing Estimation and Sonobuoy Position Error (방위각 추정 및 소노부이 위치 오차를 보상한 DIFAR 소노부이의 표적 위치 추정 성능 향상 기법)

  • Gwak, Sang-Yell
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.2
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    • pp.221-228
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    • 2020
  • A sonobuoy is dropped onto the surface of water to estimate the bearing of an underwater target. A Directional Frequency Analysis and Recording (DIFAR) sonobuoy has an error in the specific angular section due to the method of estimating bearing and noise, which causes an error in target localization using multiple sonobuoys. In addition, the position of the sonobuoy continues to move, but since a sonobuoy with a GPS is intermittently arranged, it is difficult to estimate the exact position of the sonobuoy. This also causes target localization performance degradation. In this paper, we propose a technique to improve the target localization performance by compensating for bearing errors using characteristics of the DIFAR sonobuoy and multiple-sonobuoy position errors based on the intermittently arranged active sonobuoy with a GPS.

Effects of Speed Dependent Factors on Ship Maneuvers (속도에 따른 인자가 선박의 조종에 미치는 영향)

  • You, Young-Jun;Rhee, Key-Pyo
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2009.10a
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    • pp.67-68
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    • 2009
  • 선박이 항만이나 협수로에서 항해를 하는 경우 수심 등 환경적인 제한 때문에, 대양에서보다 낮은 속도로 운항하게 된다. 이러한 환경적인 제한 속에서 선박의 조종성능을 정확하게 추정하는 것은 사고의 위험을 줄이는데 필수적이다. 일반적으로, 실험적인 방법을 통해 조종성능을 추정하는 연구에서는 대양에서의 운항속도를 기준으로 이루어지기 때문에 위와 같은 제한 수역에서 낮은 속도로 운항하는 선박의 조종성능을 추정하는데 한계가 있다. 본 연구에서는 대양에서의 운항 속도와 다른 속도에서 운항하는 선박의 조종성능이 어떻게 변화하는지 확인하고, Whole ship model에서 KT model로 바꾸어 적용하였을 때 이러한 특성이 유치되는지 확인하였다.

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Impact of Channel Variations and Channel Estimation Errors on the Error Performance of Convolutional Coded STBC Systems (길쌈 부호화 시공간 블록 부호 시스템의 오류 성능에 대한 채널 변화 및 채널 추정 오류의 영향)

  • Yun, Eunsik;Kim, Sun-Hyung;Park, Sangjoon;Kang, Byeong-Gwon
    • Journal of Digital Convergence
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    • v.16 no.5
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    • pp.231-237
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    • 2018
  • This paper investigates the impact of the channel variations and channel estimation errors on the error performance of convolutional coded STBC systems. We consider the orthogonal Almouti STBC and the quasi-orthogonal Jafarkhani STBC, and the error performance of the convolutional coded STBC system is investigated according to the channel variation and channel estimation error via numerical simulations. Simulation results show that, if the channel variation speed is slow, time diversity effects improve the error performance compared to the static-channel cases. However, if the channel variation speed is fast, unlike ZF or MMSE detection, the conventional STBC detection has the significant performance degradation especially with the quasi-orthogonal Jafarkhani STBC. Further, the error performance of the system is significantly degraded as the channel estimation errors become stronger, regardless of the detection scheme and channel variation speed.

Analysis of IEEE 802.11a wireless LAN system considering frequency offset compensation and channel estimation in the indoor multipath channel (실내 다중경로 채널에서 주파수 오프셋 보상 및 채널 추정을 고려한 IEEE 802.11a 무선 LAN 시스템의 성능 분석)

  • 오동진;김철성
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.41 no.9
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    • pp.47-54
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    • 2004
  • The previous works for WLAN system based on OFDM is mainly individual study for independent frequency offset or symbol synchronization. In this paper, the performance of IEEE 802.11a WLAN(Wireless Local Area Network) system in the realistic indoor multipath channel models is analyzed with frequency offset compensation and channel estimation methods. For the performance analysis of the WLAN system indoor Rayleigh multipath channels are adopted, and the BER(Bit Error Rate) of WLAN system is calculated with y2 code-rate 16-QAM based on standard specification. From the simulation results, the difference of required Eb/No for BER of 10-3 is 1-2dB between the channel estimation and frequency offset compensation, and perfect channel estimation and no frequency offset.

Prediction of Resistance Performance for Low-Speed Full Ship using Deep Neural Network (심층신경망을 이용한 저속비대선의 저항성능 추정)

  • TaeWon Park;JangHoon Seo;Dong-Woo Park
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.7
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    • pp.1274-1280
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    • 2022
  • The resistance performance evaluation of general ships using computational fluid dynamics requires a lot of time and cost, and various methods are being studied to reduce the time and cost. Existing methods using main particulars or cross sections of ships have limitations in estimating resistance performance that is greatly dependent on the shape of the ship. In this paper, we propose a deep neural network model that can quickly predict the resistance performance of the hull surface by inputting the geometric information of the hullform mesh. The proposed deep neural network model based on Perceiver IO can immediately predict resistance performance, unlike computational fluid dynamics techniques that require calculation in each time step. It shows the result of estimating the resistance performance with an average error of less than 1% in the data set for a 50 K tanker ship, a type of low-speed full ship.

Performance of UWB Ranging in Multipath and Multiuser Environments (다중경로 다중사용자 환경에서의 초광대역 거리추정의 성능 분석)

  • Lee Joon-Yong;Yoo Sungyul
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.12C
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    • pp.1125-1132
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    • 2005
  • Ultra-wideband (UWB) ranging poses a set of time delay estimation problems for designers. The possibility of a large error can be a challenging problem for accurate ranging and positioning. An approximate analysis of large error performance of UWB ranging in multipath and multiuser environments is posed. Both analytical and experimental approaches are taken to evaluate the large error variance in a correlation-based serial search scenario.