• Title/Summary/Keyword: Azimuth Error

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Performance Analysis of Three-Dimensional Radar for Angle and Distance Errors (3차원 레이다 궤적 생성 및 성능 분석)

  • Lim, Hyeongyong;Jang, Yeonsoo;Lee, Taewoo;Hwang, Jaeduck;Yoon, Dongweon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.837-839
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    • 2014
  • In radar systems, information of three-dimensional (3D) trajectory is necessary for tracking targets. The information of 3D trajectory for a 3D radar can be obtained by estimating the azimuth angle, the elevation angle, and the distance. The estimated information of the angles and the distance has errors according to received signals. Since these errors affect performances of 3D radar systems, performance analysis of 3D radar for the angles and the distance errors is required. In this paper, the performance of 3D radar systems is analyzed by root mean square error (RMSE) between true trajectory information and the estimated trajectory information according to the angles and the distance errors.

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Robust AUV Localization Incorporating Parallel Learning Module (병렬 학습 모듈을 통한 자율무인잠수정의 강인한 위치 추정)

  • Lee, Gwonsoo;Lee, Phil-Yeob;Kim, Ho Sung;Lee, Hansol;Kang, Hyungjoo;Lee, Jihong
    • The Journal of Korea Robotics Society
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    • v.16 no.4
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    • pp.306-312
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    • 2021
  • This paper describes localization of autonomous underwater vehicles(AUV), which can be used when some navigation sensor data are an outlier. In that situation, localization through existing navigation algorithms causes problems in long-range localization. Even if an outlier sensor data occurs once, problems of localization will continue. Also, if outlier sensor data is related to azimuth (direction of AUV), it causes bigger problems. Therefore, a parallel localization module, in which different algorithms are performed in a normal and abnormal situation should be designed. Before designing a parallel localization module, it is necessary to study an effective method in the abnormal situation. So, we propose a localization method through machine learning. For this method, a learning model consists of only Fully-Connected and trains through randomly contaminated real sea data. The ground truth of training is displacement between subsequent GPS data. As a result, average error in localization through the learning model is 0.4 times smaller than the average error in localization through the existing navigation algorithm. Through this result, we conclude that it is suitable for a component of the parallel localization module.

Photovoltaic tracking system considered loss by shadow (음영에 의한 손실을 고려한 태양광 발전 추적 시스템)

  • Choi, Jung-Sik;Ko, Jae-Sub;Jung, Chul-Ho;Kim, Do-Yon;Jung, Byung-Jin;Chung, Dong-Hwa
    • 한국태양에너지학회:학술대회논문집
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    • 2008.04a
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    • pp.135-141
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    • 2008
  • In this paper a novel tracking system is described, regarding the influence of shadow between array, aimed at improving the efficiency of PV tracking system. Comparing with a building site versus capacity power, domestic solar powers have a limited siting. Therefore, each array interferes with the shadow of other arrays. The loss by influence of those shadow can be compensated for by means of control algorithm of the tracking device. The paper suggests a method controlling an altitude for length which is received the shadow influence of PV array. By using an azimuth of current solar position and the length between arrays, the controller of tracking device is able to calculate the length between actual arrays and make a comparison of the shadow length at a specific time with the length between arrays. When the shadow length is longer than the length between arrays, the controller of tracking device can adjust a position by compensating error altitude of the length between arrays at an altitude of current solar position. In the paper, we develop the control algorithm able to minimize the loss caused by the influence of shadow on the PV tracking system, and compared this with conventional output system. The controller has been tested in the laboratory with proposed algorithm and shows excellent performance

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Performance analysis of DoA estimation algorithm using a circular array antenna (원형 배열 안테나의 DoA 추정 알고리즘 성능 분석)

  • Lim, Seung-Gag;Kang, Dae-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.2
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    • pp.395-400
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    • 2008
  • This paper relates to the performance analysis of DoA estimation algorithm in 2-dimensional circular array antenna for the receiving of GPS signal which is used for the performance improvement by elimination of jammer signal. By performing the spatial filtering after the DoA estimation in array antenna, the quality of receiving signal can improve by the nulling of jammer signal from the undesired direction and the forming of beam from the desired direction. In this paper, the MUSIC and MinNorm algorithm used for DoA estimation were applied after fixing the angle and power of jammer signal in 4 element and 7 element circular array antenna. In order to performance analysis, the estimation result and estimation error were computed by computer simulation. As a result, the MUSIC and MinNorm were fairly good in azimuth and elevation angle estimation of DoA in case of good signal to noise ratio and the MUSIC has better performance compared to MinNorm in case of poor signal to noise ratio.

Polarization Analysis of Composite Optical Films for Viewing Angle Improvement of Liquid Crystal Display (액정 디스플레이 시야각 향상을 위한 복합판의 편광특성 분석)

  • Ryu, Jang-Wi;Kim, Sang-Youl;Kim, Yong-Ki
    • Korean Journal of Optics and Photonics
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    • v.20 no.4
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    • pp.241-248
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    • 2009
  • We suggest a new method to determine the off-alignment error of the composite film, together with in-plane($R_{in}$) and out-of-plane retardation($R_{th}$) of the compensation film, simultaneously. The composite film consists of a polarizing film and a compensation film for improvement of viewing angle of a liquid crystal display. We regarded the compensation film as o-plate with its optic axis along an arbitrary direction. By using an extended Jones matrix method, the polarization characteristics of the composite film are examined. The calculated Fourier constants, ($\alpha$, $\beta$) curves of the composite film as the azimuth angle is varied at the incident angles of $0^{\circ}$ and $50^{\circ}$, respectively, are used to determine the axis misalignment, the tilt angle and the azimuth angle of the compensation film by adopting the linear regressional analysis technique. Since this method can be applied for the inspection of the composite film even after laminating the polarizing film and the compensation film, it will be useful for simplifying the manufacturing process and reducing the production cost of liquid crystal display panels.

Position Fixing Accuracy of TDOA Direction Finding Method (TDOA 방위탐지방식의 위치표정 정확도)

  • Lim, Joong-Soo;Chae, Gyoo-Soo
    • Journal of Digital Convergence
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    • v.12 no.11
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    • pp.373-378
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    • 2014
  • The technology of direction finding is very important to make high position fixing accuracy. TDOA(time difference of arrival) direction finding technology is a high accuracy technology and is used in RF system from 1990. The principle of TDOA is to receive an emitter signal with two antennas, measure the time difference of received signal and then convert the time differences to azimuth angle. For high DF(direction finding) accuracy long basis line and high SNR at receiving system are needed. The DF accuracy and position fixing accuracy are simulated with different SNRs and antenna base lines. We obtain the DF accuracy of $0.51^{\circ}$ at $0^{\circ}$ incident azimuth angle in case of 50m base line and 40dB SNR.

Fuzzy-Model-Based Kalman Filter for Radar Tracking

  • Lee, Bum-Jik;Joo, Young-Hoon;Park, Jin-Bae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.311-314
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    • 2003
  • In radar tracking, since the sensor measures range, azimuth and elevation angle of a target, the measurement equation is nonlinear and the extended Kalman filter (EKF) is applied to nonlinear estimation. The conventional EKF has been widely used as a nonlinear filter for radar tracking, but the considerably large measurement error due to the linearization of nonlinear function in highly nonlinear situations may deteriorate the performance of the EKF. To solve this problem, a fuzzy-model-based Kalman filter (FMBKF) is proposed for radar tracking. The FMBKP uses a local model approximation based on a TS fuzzy model instead of a Jacobian matrix to linearize nonlinear measurement equation. The hybrid GA and RLS method is used to identify the premise and the consequent parameters and the rule numbers of this TS fuzzy model. In two-dimensional radar tracking problem, the proposed method is compared with the conventional EKF.

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IRCM Jamming Effect Analysis of a Stationary Reticle Seeker (고정 레티클 탐색기의 IRCM 재밍효과 분석)

  • Ahn, Sang-Ho;Kim, Young-Choon;Lee, Kwang-Sei;Kim, Ki-Hong;Kim, Sung-Soo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.13 no.2
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    • pp.304-312
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    • 2010
  • The function of IRCM(Infrared Countermeasures) jamming is to cause the missile to miss its intended target by disturbing the seeker tracking process. This paper analyzes the jamming effect of IRCM jamming for a stationary reticle seeker. The phase error containing the azimuth angle information of target is analyzed for the intensity, frequency and duty ratio variation of the jammer pulse signal. We confirmed that the more the jammer frequency is similar to the spinning frequency of the stationary seeker, the more jamming effect is high.

An Efficient Routing Algorithm for extreme networking environments (극단적인 네트워크 환경을 위한 효율적인 라우팅 알고리즘)

  • Wang, Jong Soo;Seo, Doo Ok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.8 no.1
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    • pp.47-53
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    • 2012
  • Sensor networks and car networks that have different structure from that of conventional TCP/IP network require extreme network environment due to frequent change of connectivity. Because such extreme network environment has characteristics like unreliable link connectivity, long delay time, asymmetrical data transfer rate, and high error rate, etc., it is difficult to perform normally with the conventional TCP/P-based routing. DTNs (delay and disruption tolerant network) was designed to support data transfer in extreme network environment with long delay time and no guarantee for continuous connectivity between terminals. This study suggests an algorithm that limits the maximum number of copying transferred message to L by improving the spray and wait routing protocol, which is one of the conventional DTNs routing protocols, and using the azimuth and density data of the mobile nods. The suggested algorithm was examined by using ONE, a DTNs simulator. As a result, it could reduce the delay time and overhead of unnecessary packets compared to the conventional spray and wait routing protocol.

Velocity and DCM Partial Matching Methods for Ship Flexure Compensation of Transfer Alignment (전달정렬의 선체 유연성 보상을 위한 속도 및 DCM 부분 정합방식)

  • Lim, You-Chol;Song, Ki-Won;Lyou, Joon
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.4
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    • pp.369-373
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    • 2001
  • This paper is concerned with a transfer alignment of SDINS under ship motions. To reduce alignment errors induced by the ship body flexure, an error compensation method is suggested based on velocity and DCM partial matching, and by interpreting the simulation results and comparing with the conventional velocity and quaternion partial matching, it is shown that the proposed method is effective enough to improve the azimuth alignment performance.

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