• Title/Summary/Keyword: Direction Estimation

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Color Interpolation with Hard-Decision based on Local Cross-Channel Correlation (채널 간 국부 상관도에 기반 한 에지 적응적 컬러 보간)

  • Oh, Hyun-Mook;Kang, Moon-Gi
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.847-848
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    • 2008
  • In this paper, we proposed a novel edge-oriented color interpolation method which determine the edge direction with hard-decision based on high correlation between different channels. The novel edge direction estimation criterion improves the color interpolation method especially on edges by considering high frequencies between channels.

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The DOA Estimation of Wide Band Moving Sources

  • Cho, Mun-Hyeong
    • Journal of information and communication convergence engineering
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    • v.5 no.1
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    • pp.12-16
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    • 2007
  • In this paper, a new method is proposed for tracking the direction-of-arrival (DOA) of the wideband moving source incident on uniform linear array sensors. DOA is estimated by focusing transformation matrices. To update focusing matrices along with new data snap shots, we use the FAST (Fast Approximate Subspace Tracking) method. Present focusing matrices are constructed by previous signal and its orthogonal basis vectors as well as present signal and its orthogonal basis vectors, which are the left and right singular vectors of the inner product of two approximated matrices. Simulation results are shown to illustrate the performance of the proposed method.

Estimating Human Walking Pace and Direction Using Vibration Signals (진동감지를 이용한 사용자 걸음걸이 인식)

  • Jeong, Eunseok;Kim, DaeEun
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.5
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    • pp.481-485
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    • 2014
  • In service robots, a number of human movements are analyzed using a variety of sensors. Vibration signals from walking movements of a human provide useful information about the distance and the movement direction of the human. In this paper, we measure the intensity of vibrations and detect both human walking pace and direction. In our experiments, vibration signals detected by microphone sensors provide good estimation of the distance and direction of a human movement. This can be applied to HRI (Human-Robot Interaction) technology.

Estimation of Micro-discontinuity Distribution Using Scanline Survey in Granites (조사선을 이용한 화강암의 미세 불연속면 분포성상 평가)

  • 이상은;조상호;양형식;박홍민
    • Tunnel and Underground Space
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    • v.9 no.4
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    • pp.364-372
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    • 1999
  • In this paper, mechanical characteristics of micro-defects in granitic rock was studied. Crack spacing and length were investigated by scanline survey in specimen of granite. To estimate the direction and distribution of potential microcrack in granite, thin sections were made for three direction of Rift, Grain and Hardway axis of the rock specimen. The density and length of microcrack were investigated quantitatively. Three directions of microcracks are comparatively perpendicular. Crack density varies as direction differs, but crack length doesn't show influence of direction.

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NUMERICAL STUDY OF THE FORMATION OF LINEAR DUNES

  • Zhang Ruyan;Kan Makiko;Kawamura Tetuya
    • Journal of computational fluids engineering
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    • v.10 no.1
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    • pp.31-38
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    • 2005
  • Three-dimensional flow over the sand dunes have been studied numerically by using Large-Eddy Simulation (LES) method. In the direction of initial flow and span direction cyclic boundary conditions are imposed for velocity and pressure. The movement of the sand dune which is formed by converging wind direction has been investigated. The numerical method employed in this study can be divided into three parts: (i) calculation of the air flow over the sand dune using standard MAC method with a generalized coordinate system; (ii) estimation of the sand transfer caused by the flow through the friction; (iii) determination of the shape of the sand surface. Since the computational area has been changed due to step (iii), (i)-(iii) are repeated. The simulated dune, which has initially elliptic cross section, extends at the converging direction, which is known as linear dunes.

A Fault Classification and Direction Estimation Algorithm by Neural Network (신경회로망을 이용한 송전선로 보호용 방향 개전 및 고장상 선택 알고리즘)

  • Choi, Chang-Youl;Lee, Myoung-Soo;Lee, Jae-Gyu;You, Seok-Ku
    • Proceedings of the KIEE Conference
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    • 2003.07a
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    • pp.332-334
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    • 2003
  • The direction and the type of a fault on a transmission line needs to be identified rapidly and correctly. This paper presents a approach to identify fault direction and type with neural network on double circuit transmission line. A neural network based on self organization map(SOM) provides the ability to accurately classify the fault type and to select of a fault direction. In this paper, proposed algorithm uses different patterns of the associated voltages and currents in order to identify fault clusters.

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A Two-step Kalman/Complementary Filter for Estimation of Vertical Position Using an IMU-Barometer System (IMU-바로미터 기반의 수직변위 추정용 이단계 칼만/상보 필터)

  • Lee, Jung Keun
    • Journal of Sensor Science and Technology
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    • v.25 no.3
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    • pp.202-207
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    • 2016
  • Estimation of vertical position is critical in applications of sports science and fall detection and also controls of unmanned aerial vehicles and motor boats. Due to low accuracy of GPS(global positioning system) in the vertical direction, the integration of IMU(inertial measurement unit) with the GPS is not suitable for the vertical position estimation. This paper investigates an IMU-barometer integration for estimation of vertical position (as well as vertical velocity). In particular, a new two-step Kalman/complementary filter is proposed for accurate and efficient estimation using 6-axis IMU and barometer signals. The two-step filter is composed of (i) a Kalman filter that estimates vertical acceleration via tilt orientation of the sensor using the IMU signals and (ii) a complementary filter that estimates vertical position using the barometer signal and the vertical acceleration from the first step. The estimation performance was evaluated against a reference optical motion capture system. In the experimental results, the averaged estimation error of the proposed method was 19.7 cm while that of the raw barometer signal was 43.4 cm.

A Gradient Method Based Near-Field Range Estimation Technique Robust to Direction-of-Arrival Error (방위각 오차에 강인한 경사법 기반 근접장 표적 거리 추정 기법)

  • Kim, Joon-Doo;Cho, Chom-Gun;Lee, Chung-Yong
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.2
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    • pp.130-136
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    • 2012
  • In this paper, we propose a near-field range estimation method for a uniform linear array that can calibrate bearing estimation error which give a bad influence on a range estimation process. When a range is fixed, the bearing error is calibrated to maximize the beamformer output by the proposed algorithm based on the gradient method. Simulation results show that the proposed algorithm can compensate the bearing error which is less than the mainlobe beamwidth so that reduce the range estimation error as similar as the case of no bearing error.

An ESPRIT-Based Super-Resolution Time Delay Estimation Algorithm for Real-Time Locating Systems (실시간 위치 추적 시스템을 위한 ESPRIT 기반의 초 분해능 지연 시간 추정 알고리즘)

  • Shin, Joon-Ho;Park, Hyung-Rae;Chang, Eun-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.4
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    • pp.310-317
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    • 2013
  • In this paper an ESPRIT-based super-resolution time delay estimation algorithm is developed for real-time locating system (RTLS) and its performance is analyzed in various multipath environments. The performance of the existing correlation method for time delay estimation seriously degrades in multipath environments where the relative time delays of multipath signals are less than a PN chip. To solve the problem we shall develop a frequency domain super-resolution time delay estimation algorithm using the ESPRIT, the most representative super-resolution direction-of-arrival (DOA) estimation algorithm, and analyze its performance in various multipath environments.

A Novel Broadband Channel Estimation Technique Based on Dual-Module QGAN

  • Li Ting;Zhang Jinbiao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.5
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    • pp.1369-1389
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    • 2024
  • In the era of 6G, the rapid increase in communication data volume poses higher demands on traditional channel estimation techniques and those based on deep learning, especially when processing large-scale data as their computational load and real-time performance often fail to meet practical requirements. To overcome this bottleneck, this paper introduces quantum computing techniques, exploring for the first time the application of Quantum Generative Adversarial Networks (QGAN) to broadband channel estimation challenges. Although generative adversarial technology has been applied to channel estimation, obtaining instantaneous channel information remains a significant challenge. To address the issue of instantaneous channel estimation, this paper proposes an innovative QGAN with a dual-module design in the generator. The adversarial loss function and the Mean Squared Error (MSE) loss function are separately applied for the parameter updates of these two modules, facilitating the learning of statistical channel information and the generation of instantaneous channel details. Experimental results demonstrate the efficiency and accuracy of the proposed dual-module QGAN technique in channel estimation on the Pennylane quantum computing simulation platform. This research opens a new direction for physical layer techniques in wireless communication and offers expanded possibilities for the future development of wireless communication technologies.