• Title/Summary/Keyword: 방위각 추정방법

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3-D Sound Source Localization using Energy-Based Region Selection and TDOA (에너지 기반 영역 선택과 TDOA에 의한 3차원 음원 위치 추정)

  • Yiwere, Mariam;Rhee, Eun Joo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.2
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    • pp.294-300
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    • 2017
  • This paper proposes a method for 3-D sound source localization (SSL) using region selection and TDOA. 3-D SSL involves the estimation of an azimuth angle and an elevation angle. With the aim of reducing the computation time, we compare signal energies to select one out of three regions. In the selected region, we compute only one TDOA value for the azimuth angle estimation. Also, to estimate the vertical angle, we choose the higher energy signal from the selected region and pair it up with the elevated microphone's signal for TDOA computation and elevation angle estimation. Our experimental results show that the proposed method achieves average error values of $0.778^{\circ}$ in azimuth and $1.296^{\circ}$ in elevation, which is similar to other methods. The method uses one energy comparison and two TDOA computations therefore, the total processing time is reduced.

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.

Methods of Noise Source Identification(Their Characteristics and Applications) (소음원 규명 방법론 (특성과 응용을 중심으로))

  • 김양한
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1996.10a
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    • pp.43-49
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    • 1996
  • 소음원의 특성을 규명하는 방법론들은 방위각 추정 방법론에 근간을 둔 소음원 위치 탐지 방법과 같이 소음원의 등가 단극음원 크기 및 위치들을 추정하는 기본적인 방법들로부터 보다 많은 계측기기 및 탐촉자와 함께 상당히 정교한 데이타 처리를 수행하여야 하는 인텐시티를 이용한 음장 맵핑(mapping) 홀로그라프를 이용한 관심음장 전체의 3차원 맵핑등 실로 다양하다 할 수 있다. 결국은 가장 많은 탐촉자를 사용하는 측정 시스템이 보다 많은 음장의 정보를 제공하므로서 가장 탁월한 방법론이라 결정할 수 있다. 이것은 특히 탐촉자 자체의 가격이 저렴해져 가는 추세인 점과 소형화하는 추세를 감안하여 봄과 동시에 공간상의 물리적인 의미 즉 파수영역에 대한 보다 폭 넓은 이해를 통한 시간, 공간, 주파수, 파수영역 즉 확대된 차원에서의 음장, 소음에 대한 이해를 갖을 수 있다는 면에서도 가치 있다고 할 수 있다.

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A Study on Estimating Geomagnetic Azimuth using LSTM (LSTM을 이용한 지자기 방위각 추정 기술 연구)

  • Oh, Jongtaek;Kim, Sunghoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.6
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    • pp.137-141
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    • 2022
  • The method of estimating the azimuth by measuring the geomagnetism has been used for a very long time. However, there are many cases where an error occurs in the estimated azimuth due to disturbances in the earth's magnetic field due to metal structures inside and outside the room. Although many studies have been conducted to correct this, there is a limit to reducing the error. In this paper, we propose a method of estimating the azimuth by applying the measured geomagnetic sensor data to the neural network of the LSTM structure. Data preprocessing is very important for learning a neural network. In this paper, data is collected using the built-in acceleration sensor, gyro sensor, and geomagnetic sensor in the smartphone, and the geomagnetic sensor data is uniformly sampled using EKF. As a result, an average azimuth estimation error of 0.9 degrees was obtained using four hidden layers.

A Study on Accurate Angle Estimation of Multiple Targets for Digital Beam Forming Automotive Radar (DBF 차량용 레이더를 위한 다중 표적의 정확한 각도 추정 연구)

  • Lee, Seong-Hyeon;Choi, In-Oh;Kim, Kyung-Tae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.26 no.9
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    • pp.806-813
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    • 2015
  • In order to satisfy several conditions with respect to size, weight, and costs, automotive radars use an antenna consisting of a small number of receiving channels. If RELAX technique is applied to the automotive radars, angles of targets located in antenna beam can be estimated as well as the number of the targets. However, a small number of receiving channels in the antenna leads to inaccurate spectral estimation in angle domain, which in turn degrades performance of RELAX technique. Therefore, in this study, root-MUSIC technique coupled with MDL criterion is introduced to decide accurate angles of targets in antenna beam. In simulations, we show superior performance of proposed scheme using simulation results when three point targets are located in antenna beam.

Location Estimation for Multiple Targets Using Expanded DFS Algorithm (확장된 깊이-우선 탐색 알고리듬을 적용한 다중표적 위치 좌표 추정 기법)

  • Park, So Ryoung;Noh, Sanguk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.12
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    • pp.1207-1215
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    • 2013
  • This paper proposes the location estimation techniques of distributed targets with the multi-sensor data perceived through IR sensors of the military robots in consideration of obstacles. In order to match up targets with measured azimuths, to add to the depth-first search (DFS) algorithms in free-obstacle environment, we suggest the expanded DFS (EDS) algorithm including bypass path search, partial path search, middle level ending, and the supplementation of decision metric. After matching up targets with azimuths, we estimate the coordinate of each target by obtaining the intersection point of the azimuths with the least square error (LSE) algorithm. The experimental results show the error rate of estimated location, mean number of calculating nodes, and mean distance between real coordinates and estimated coordinates of the proposed algorithms.

A Study on magnetic sensor calibration for indoor smartphone position tracking (스마트폰 실내 위치 추적을 위한 지자기 센서 보정에 관한 연구)

  • Lee, Dongwook;Oh, Jongtaek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.6
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    • pp.229-235
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    • 2018
  • Research on indoor location tracking technology using smart phone is actively being carried out. Especially, in order to display the movement path of the smartphone on the map, the azimuth angle should be estimated by using the geomagnetic sensor built in most smart phones. Due to the distortion of the magnetic field due to the surrounding steel structure and the inclination of the smartphone, the estimation error of azimuthal angle may be occurred. In this paper, we propose a correction method of the geomagnetic sensor at the stationary state and a correction method for the inclination of the smartphone. We also propose a method to correct the azimuth error due to the difference between the magnetic north and the grid north.

Improved Detection Method Face Rotation Angle for 3D Sound System (입체 음향을 위한 개선된 얼굴 방위각 검출)

  • Han, Sang-Il;Ryu, Il-Hyun;Seo, Bo-Guk;Koo, Ko-Sik;Cha, Hyung-Tai
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2008.04a
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    • pp.201-204
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    • 2008
  • 머리전달함수(HRTF)가 정확하더라도 사람의 얼굴이 움직이게 되면 실제 머리전달함수와 미리 측정한 머리전달 함수가 달라져 입체음향 시스템의 성능이 저하되므로 정확한 얼굴의 회전각이 요구된다. 따라서 본 논문에서는 정확한 머리전달함수의 입력을 위해 사람 얼굴의 회전각을 추정하고자 한다. 제안하는 알고리즘은 먼저 Haar-like 특징을 이용하여 얼굴을 검출한 후 전처리 작업을 통해 눈의 바깥쪽 경계면과 안쪽 경계면을 검출한다. 그리고 검출된 두 개의 경계면의 비를 이용하여 얼굴의 회전각을 추정한다. 제안하는 알고리즘은 기존에 방법들에 비해 적용 범위가 넓음을 실험을 통해 알 수 있었다.

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Location Estimation for Multiple Targets Using Tree Search Algorithms under Cooperative Surveillance of Multiple Robots (다중로봇 협업감시 시스템에서 트리 탐색 기법을 활용한 다중표적 위치 좌표 추정)

  • Park, So Ryoung;Noh, Sanguk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.9
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    • pp.782-791
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    • 2013
  • This paper proposes the location estimation techniques of distributed targets with the multi-sensor data perceived through IR sensors of the military robots. In order to match up targets with measured azimuths, we apply the maximum likelihood (ML), depth-first, and breadth-first tree search algorithms, in which we use the measured azimuths and the number of pixels on IR screen for pruning branches and selecting candidates. After matching up targets with azimuths, we estimate the coordinate of each target by obtaining the intersection point of the azimuths with the least square error (LSE) algorithm. The experimental results show the probability of missing target, mean of the number of calculating nodes, and mean error of the estimated coordinates of the proposed algorithms.

Detection Method of Face Rotation Angle for Crosstalk Cancellation (크로스토크 제거를 위한 얼굴 방위각 검출 기법)

  • Han, Sang-Il;Cha, Hyung-Tai
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.1
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    • pp.58-65
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    • 2007
  • The method of 3D sound realization using 2 speakers provides two advantages: cheap and easy to build. In the case, crosstalk between 2 speakers has to be eliminated. To calculate and remove the effect of the crosstalk it is essential to find a rotation angle of human head correctly. In the paper, we suggest an algorithm to find the head angle of 2 channel system. We first detect a face area of the given image using Haar-like feature. After that, the eve detection using pre-processor and morphology method. Finally, we calculate the face rotation angle with the face andi the eye location. As a result of the experiment on various face images, the proposed method improves the efficiency much better than the conventional methods.