• Title/Summary/Keyword: white noise analysis

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Numerical Integration-based Performance Analysis of Amplitude-Comparison Monopulse System (진폭비교 모노펄스시스템의 수치적분 기반 성능분석)

  • Ham, Hyeong-Woo;Lim, Hee-Yun;Lee, Joon-Ho
    • Journal of Digital Convergence
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    • v.19 no.12
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    • pp.339-345
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    • 2021
  • In this paper, estimation angle performance analysis of amplitude-comparison monopulse radar under additive noise effect is dealt with. When uncorrelated white noises are added to the squinted beams, the angle estimation performance is analyzed through the mean square error(MSE). The numerical integration-based mean square error result completely overlaps the Monte Carlo-based mean square error result, which corresponds to 99.8% of the Monte Carlo-based mean square error result. In addition, the mean square error analysis method based on numerical integration has a much faster operation time than the mean square error method based on Monte Carlo. the angle estimation performance of the amplitude comparison monopulse radar can be efficiently analyzed in various noise environments through the proposed numerical integration-based mean square error method.

A simulation of wind generation for the wind turbine analysis (풍력발전기 성능평가를 위한 바람 시뮬레이션)

  • Lee, Sunggun;Suk, Sangmin;Chung, Chinhwa;Park, Hyunchul
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.11a
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    • pp.188.1-188.1
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    • 2010
  • This paper describes the effort for the development of an actual wind simulation method on the wind turbine performance evaluation. It should be emphasized that the deep knowledge on real wind field is a key factor for both the design of a wind turbine and the performance evaluation. With this reason, there had been several simulation attempts to accurately match with the actual wind data. With an existing wind generation algorithm is under consideration, this study introduces several more new concepts including Van der Hoven spectrum being implemented in different methodology. Also this paper will compare the result from the wind simulations by using the basic formula with that by using MATLAB and SIMULINK previously developed. In addition, like the existing wind generation algorithm, random process for actual wind field simulation and white noise are incorporated to closely produce the actual wind field models.

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Analysis of Random Ship Rolling Using Partial Stochastic Linearization (통계적 부분선형화 방법을 이용한 선체의 불규칙 횡동요 운동의 해석)

  • Dong-Soo Kim;Won-Kyoung Lee
    • Journal of the Society of Naval Architects of Korea
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    • v.32 no.1
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    • pp.37-41
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    • 1995
  • In order to analyze the rolling motion of a ship in random beam waves we use the partial stochastic linearization method. The quadratic damping and the nonlinear restoring moments given by the odd polynomials up to the 11th order are added to a single degree of freedom linear equation of roll motion. The irregular excitation moment is assumed to be the Gaussian white noise. The statistical characteristics of the response by the partial stochastic linearization method is compared with results by the equivalent linearization method and Monte Carlo simulation. It is fecund that the partial stochastic linearization method is not necessarily superior to the equivalent linearization method.

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New Analysis on the Generalization of SC Systems for the Reception of M-ary Signals over Rayleigh Fading Channels

  • Yoon Jae-Yeun;Kim Chang-Hwan;Chin Yong-Ok
    • Journal of electromagnetic engineering and science
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    • v.4 no.4
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    • pp.175-182
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    • 2004
  • When the M-ary signal experiences the Rayleigh fading, the diversity schemes can reduce the effect of fading since the probability that all the signals components will fade simultaneously is reduced considerably. The symbol error probabilities for various M-ary signals, such as MDPSK(M-ary DPSK) and MPSK(M-ary PSK), are mathematically derived for the Selection Combining 2(SC-2) and Selection Combining 3(SC-3) demodulation system which requires a less complex receiver than Maximum Ratio Combining(MRC). The propagation model used in this paper is the frequency-nonselective slow Rayleigh fading channel corrupted by the Additive White Gaussian Noise(AWGN). The numerical results presented in this paper are expected to provide information for the design of radio system using M-ary modulation method for above mentioned channel environment.

ESTIMATION OF NON-INTEGRAL AND INTEGRAL QUADRATIC FUNCTIONS IN LINEAR STOCHASTIC DIFFERENTIAL SYSTEMS

  • Song, IL Young;Shin, Vladimir;Choi, Won
    • Korean Journal of Mathematics
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    • v.25 no.1
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    • pp.45-60
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    • 2017
  • This paper focuses on estimation of an non-integral quadratic function (NIQF) and integral quadratic function (IQF) of a random signal in dynamic system described by a linear stochastic differential equation. The quadratic form of an unobservable signal indicates useful information of a signal for control. The optimal (in mean square sense) and suboptimal estimates of NIQF and IQF represent a function of the Kalman estimate and its error covariance. The proposed estimation algorithms have a closed-form estimation procedure. The obtained estimates are studied in detail, including derivation of the exact formulas and differential equations for mean square errors. The results we demonstrate on practical example of a power of signal, and comparison analysis between optimal and suboptimal estimators is presented.

A Simulation on the Performance of Line Codes for ISDN U-Interface (종합정보통신망 U-접속 선로부호의 성능에 관한 시뮬레이션)

  • 강구홍;김대영;백제인
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.5
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    • pp.672-683
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    • 1990
  • The line code for ISDN subscriber loops is a critical choice in designing U-interface transceiver, since it affects system performance in a crucial way. This paper provides the performance analysis of U-interface transceiver systems employing four different line codes AMI, MMS43, VMDB5, and 2B1Q. The codes are compared using computer simulation studies, and three performance parameters of the four codes such as power spectrum, eye width, and error probability are used for the comparison. The simulation model consists of the encoder, transmit filter (root-raised cosine filter), channel, receive filter, zero-forcing equalizer, sampler, and decoder. The near-end crosstalk and addive white gaussian noise are considered as teh principal impediments.

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Statistical Analysis on Frequency Estimation of Multiple Sinusoids from EV with a Data based Covariance Matrix (데이터 기초의 공분산 행렬로 구성된 EV 방법으로부터 다중 정현파의 주파수 추정에 관한 통계적 분석)

  • Ahn, Tae-Chon;Tak, Hyun-Su;Choi, Byung-Yun
    • Proceedings of the KIEE Conference
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    • 1992.07a
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    • pp.453-456
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    • 1992
  • A Data-based Covariance Matrix(DCM) is introduced in the Eigenvector(EV) method, among subspace methods of estimating multiple sinusoidal frequencies from finite white noisy measurements. It is shown that the EV with the DCM can obtain the true. frequencies from finite noiseless data Some asymptotic results and further improvement on the DCM are also presented mathematically. Monte-carlo simulations are statistically conducted from the view-points of means and standard deviations in the EV's of DCM and Conventional Covariance Matrix(CCM). Simulations show a great promise for using the DCM, particularly for the cases of short data records, closely spaced frequencies and high signal-to-noise ratios.

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Feature Extraction of 3-D Object Using Halftoning Image (Halftoning 영상을 이용한 3차원 특징 추출)

  • Kim, D.N.;Kim, S.Y.;Cho, D.S.
    • Proceedings of the KIEE Conference
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    • 1992.07a
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    • pp.465-467
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    • 1992
  • This paper shows 3D vision system based on halftone image analysis. Any halftone image has its own surface vector normal to surface patch. To classily the given 3D images, all the patch on 3D object are transformed to black/white halftone. First we extract the general learning patterns which represents required slopes and their attributes. And next we propose 3D segmentation by searching intensity, slope and density. Artificial neural network is found to be very suitable in this approach, because it has powerful learning quality and noise tolerant. In this study, 3D shape reconstruct using pyramidian model. Our results are evaluated to enhance the quality.

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Performance Analysis of Constellation Rearrangement for Retransmission Scheme Based on Chase Combining (체이스 결합기반 재전송에서 성상점 재배치에 따른 성능 분석)

  • Park, Su-Won;Lee, Hyun-Seok
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.46 no.5
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    • pp.19-25
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    • 2009
  • In this paper, the constellation rearrangement method for retransmission based on Chase combining, is introduced. And the effectiveness of the recommended constellation rearrangements is analyzed with statistics. Their performance for turbo-coded or convolutional coded bit streams is evaluated with simulation under additive white Gaussian noise environment.

Performance of ACL/SCO Packet Data in Bluetooth Wireless Ad/hoc Network (블루투스 무선 Ad-hoc망에서 ACL/SCO 패킷 데이터의 성능)

  • 김도균;노재성;조성언;조성준
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.29-32
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    • 2001
  • This paper has simulated the PER(Packet Error Rate), ratio of received packet and payload BER of Bluetooth system with packet types of ACL(Asynchronous Connection Less) and SCO(Synchronous Connection Oriented) link over wireless Ad-hoc environment. AWGN(Additive White Gaussian Noise) and Rayleigh fading are considered as channel model, and the analysis is based on the baseband model of Bluetooth system. In terms of PER and ratio of received packet, performance of DM1 packet is almost same as those of HV1, HV2 and HV3 packets, the performances of the other packets depend on the packet types. In terms of payload BER performance, there is no difference among HV2 packet of SCO link and DM1, DM3, DM5 packets of ACL link. Moreover, there is no difference among HV3 packet of SCO link and DM1, DM3, DM5 packets of ACL link, too.

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