• Title/Summary/Keyword: estimation performance

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Performance Evaluation of OFDM Systems Dependent upon Pilot Patterns (파일럿 패턴에 따른 OFDM 시스템의 성능 분석)

  • Choi, Seung-Kuk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.2
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    • pp.273-279
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    • 2007
  • I evaluate the BER performance of OFDM systems in frequency selective Doppler time variant fading channels, considering the pilot patterns for channel estimation. The performance of the systems is degraded due to channel estimation error. For the reduction of performance degradation in acceptable level, the optimum distance of pilot symbols in pilot pattern is 5 subcarriers in frequency domain and 6 OFDM block in time domain.

Estimation of Detection Performance for Vehicle FMCW Radars Using EM Simulations

  • Yoo, Sungjun;Kim, Hanjoong;Byun, Gangil;Choo, Hosung
    • Journal of electromagnetic engineering and science
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    • v.19 no.1
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    • pp.13-19
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    • 2019
  • This paper proposes a systematic method for estimating detection performances of a frequency-modulated continuous wave radar using electromagnetic simulations. The proposed systematic method includes a radar system simulator that can obtain range-Doppler images using the electromagnetic (EM) simulations in conjunction with a test setup employed for performance evaluation of multiple targets at different velocities in a traffic environment. This method is then applied for optimizing the half-power beamwidths of the antenna array using an evaluation metric defined to improve the detection strengths for the multiple targets. The optimized antenna has vertical and horizontal half-power beam widths of $10^{\circ}$ and $60^{\circ}$, respectively. The results confirm that that the proposed systematic method is suitable to improve the radar detection performance with the enhanced radar-Doppler images.

A Study on the Performance Improvement of Position Estimation using the Multi-Sensor Fusion in a Combat Vehicle (다중센서 융합을 통한 전투차량의 위치추정 성능 개선에 관한 연구)

  • Nam, Yoonwook;Kim, Sungho;Kim, Kitae;Kim, Hyoung-Nam
    • Journal of Korean Society for Quality Management
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    • v.49 no.1
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    • pp.1-15
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    • 2021
  • Purpose: The purpose of this study was to propose a sensor fusion algorithm that integrates vehicle motion sensor(VMS) into the hybrid navigation system. Methods: How to evaluate the navigation performance was comparison test with the hybrid navigation system and the sensor fusion method. Results: The results of this study are as follows. It was found that the effects of the sensor fusion method and α value estimation were significant. Applying these greatly improves the navigation performance. Conclusion: For improving the reliability of navigation system, the sensor fusion method shows that the proposed method improves the navigation performance in a combat vehicle.

An Evaluation Method of Taekwondo Poomsae Performance

  • Thi Thuy Hoang;Heejune Ahn
    • Journal of information and communication convergence engineering
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    • v.21 no.4
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    • pp.337-345
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    • 2023
  • In this study, we formulated a method that evaluates Taekwondo Poomsae performance using a series of choreographed training movements. Despite recent achievements in 3D human pose estimation (HPE) performance, the analysis of human actions remains challenging. In particular, Taekwondo Poomsae action analysis is challenging owing to the absence of time synchronization data and necessity to compare postures, rather than directly relying on joint locations owing to differences in human shapes. To address these challenges, we first decomposed human joint representation into joint rotation (posture) and limb length (body shape), then synchronized a comparison between test and reference pose sequences using DTW (dynamic time warping), and finally compared pose angles for each joint. Experimental results demonstrate that our method successfully synchronizes test action sequences with the reference sequence and reflects a considerable gap in performance between practitioners and professionals. Thus, our method can detect incorrect poses and help practitioners improve accuracy, balance, and speed of movement.

A Study on a Hybrid Genetic Algorithm for the Analysis of Inverse Radiation (역복사 해석을 위한 혼합형 유전 알고리듬에 관한 연구)

  • Kim, Ki-Wan;Baek, Seung-Wook;Kim, Man-Young;Ryou, Hong-Sun
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.27 no.10
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    • pp.1516-1523
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    • 2003
  • An inverse radiation analysis is presented for the estimation of the boundary emissivities for an absorbing, emitting, and scattering media with diffusely emitting and reflecting opaque boundaries. The finite-volume method is employed to solve the radiative transfer equation for a two-dimensional irregular geometry. A hybrid genetic algorithm is proposed for improving the efficiency of the genetic algorithm and reducing the effects of genetic parameters on the performance of the genetic algorithm. After verifying the performance of the proposed hybrid genetic algorithm, it is applied to inverse radiation analysis in estimating the wall emissivities in a two-dimensional irregular medium when the measured temperatures are given at only four data positions. The effect of measurement errors on the estimation accuracy is examined.

The Rotational Motion Stabilization Using Simple Estimation of the Rotation Center and Angle

  • Seok, Ho-Dong;Kim, Do-Jong;Lyou, Joon
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.231-236
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    • 2003
  • This paper presents a simple approach on the rotational motion estimation and correction for the roll stabilization of the sight system. The algorithm first computes the rotational center from the selected local velocity vectors of related pixels by least square methods. And then, rotational angle is found from the special subset of the motion vector. Finally, motion correction is performed by the nearest neighbor interpolation technique. In order to show the performance of the algorithm, the evaluation for the synthetic and real image was performed. The test results show good performance compared with previous approach.

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Implementation and Design of Inertial Sensor using the estimation of error coefficient method for sensing rotation

  • Lee, Cheol
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.95-101
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    • 2020
  • We studied the Implementation and design of inertial sensor that enables to improve performance by reduce the noise of rotor which Angle of inclination. Analyze model equation including motion equation and error, signal processing filter algorithm on high frequency bandwidth with eliminates error using estimation of error coefficient method is was designed and the prototype inertial sensor showed the pick off noise up to 0.2 mV and bias error performance of about 0.06 deg/hr by the experiments. Accordingly, we confirmed that the design of inertial sensor was valid for high rotation.

EXTREME DRIVING CHARACTERISTICS ESTIMATION FOR ESP-EQUIPPED PASSENGER CAR

  • Choi, S.J.;Park, J.W.;Jeon, K.K.;Choi, G.J.;Park, T.W.
    • International Journal of Automotive Technology
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    • v.7 no.7
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    • pp.813-819
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    • 2006
  • As the vehicle becomes bigger and faster, the importance of vehicle stability in an extreme driving condition caused by sudden steering, road condition or unexpected case has been emphasized. The ESP system is being utilized to improve the handling performance and the vehicle stability. In this study, we implemented various tests and proposed estimation methods for ESP characteristics in extreme driving situations. The estimation methods for ESP proposed in this paper are expected to facilitate developing the control logic and improving the performance of the ESP system.

Estimation of long memory parameter in nonparametric regression

  • Cho, Yeoyoung;Baek, Changryong
    • Communications for Statistical Applications and Methods
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    • v.26 no.6
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    • pp.611-622
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    • 2019
  • This paper considers the estimation of the long memory parameter in nonparametric regression with strongly correlated errors. The key idea is to minimize a unified mean squared error of long memory parameter to select both kernel bandwidth and the number of frequencies used in exact local Whittle estimation. A unified mean squared error framework is more natural because it provides both goodness of fit and measure of strong dependence. The block bootstrap is applied to evaluate the mean squared error. Finite sample performance using Monte Carlo simulations shows the closest performance to the oracle. The proposed method outperforms existing methods especially when dependency and sample size increase. The proposed method is also illustreated to the volatility of exchange rate between Korean Won for US dollar.

Improvement of rotor flux estimation performance of induction motor using Support Vector Machine $\epsilon$-insensitive Regression Method (Support Vector Machine $\epsilon$-insensitive Regression방법을 이용한 유도전동기의 회전자 자속추정 성능개선)

  • Han, Dong-Chang;Baek, Un-Jae;Kim, Seong-Rak;Park, Ju-Hyeon;Lee, Seok-Gyu;Park, Jeong-Il
    • Proceedings of the KIEE Conference
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    • 2003.11b
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    • pp.43-46
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    • 2003
  • In this paper, a novel rotor flux estimation method of an induction motor using support vector machine(SVM) is presented. Two veil-known different flux models with respect to voltage and current are necessary to estimate the rotor flux of an induction motor. The theory of the SVM algorithm is based on statistical teaming theory. Training of SVH leads to a quadratic programming(QP) problem. The proposed SVM rotor flux estimator guarantees the improvement of performance in the transient and steady state in spite of parameter variation circumstance. The validity and the usefulness of Proposed algorithm are throughly verified through numerical simulation.

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