• Title/Summary/Keyword: Angle of Arrival Estimation

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ML-Based Angle-of-arrival Estimation of a Parametric Source

  • Lee, Yong-Up;Kim, Jong-Dae;Park, Joong-Hoo
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.3E
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    • pp.25-30
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    • 2001
  • In angle of arrival estimation, the direction of a signal is usually assumed to be a point. If the direction of a signal is distributed due to some reasons in real surroundings, however, angle of arrival estimation techniques based on the point source assumption may result in poor performance. In this paper, we consider angle of arrival estimation when the signal sources are distributed. A parametric source model is proposed, and the estimation techniques based on the well-known maximum likelihood technique is considered under the model. In addition, Various statistical properties of the estimation errors were obtained.

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An Indoor Positioning Algorithm Based on 3 Points Near Field Angle-of-Arrival Estimation without Side Information (청취자 거리정보가 필요 없는 도달각 기반 실내 위치 추정기법)

  • Kim, Yeong-Moon;Yoo, Seung-Soo;Kim, Sun-Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.11C
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    • pp.957-964
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    • 2010
  • In this paper, we propose an indoor positioning algorithm based on 3 points near field angle-of-arrival estimation without side information. The conventional angle-of-arrival based positioning scheme requires the distance between the listener and the center of two points which is obtained by a received signal strength based range estimation. However, a received signal strength is affected by structure of room, placement of furniture, and characteristic of signal, these effects cause a large error to estimation of angle. In this paper, the proposed positioning scheme based on near field angle-of-arrival estimation can be used to estimate the position of listener without a prior distance information, just using time-difference-of-arrival information given from 3 points microphones. The performance of the proposed scheme is shown by cumulative distribution function of root mean squared error.

Estimating Angle-of-Arrival of UWB Cluster signals in an Indoor-to-Outdoor Wireless Communication (실내와 실외 무선통신 환경에서 초광대역 클러스터 신호의 도착 방향 추정)

  • Lee Yong-Up;Seo Young-Jun;Choi Gin-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5C
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    • pp.556-561
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    • 2006
  • In this study, an ultra-wideband(UWB) signal model is considered to estimate the angle-of-arrivals(AOAs) of clusters in an UWB indoor-to-outdoor communication environment having random angle spreads. A conventional AOA algorithm for UWB estimates the directions of both clusters and multipath signals together and so has complex estimation procedure. In order to solve that problem, we propose a new clustered AOA estimation algorithm. The estimation technique based a well-known MUSIC algorithm is proposed and the estimates of the AOA on received clusters are obtained using the proposed technique. The proposed model and estimation technique are verified through computer simulations.

Short-range Visible Light Positioning Based on Angle of Arrival for Smart Indoor Service

  • Lee, Yong Up;Park, Seop Hyeong
    • Journal of Electrical Engineering and Technology
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    • v.13 no.3
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    • pp.1363-1370
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    • 2018
  • In visible light (VL) positioning based on angle of arrival (AOA) estimation for smart indoor service, the AOA parameters obtained at the receiver has sometimes a random and distributed angle form instead of a point angle form due to the multipath transfer of the actual visible light and short positioning distance. The AOA estimation of a VL signal with a random and parametric distributed angle form may give incorrect AOA parameter estimates, which may result in poor VL positioning performance. In this paper, we classify the AOA parameters of the received VL signal into three forms according to the actual positioning channel environment and consider the short-range VL positioning method. We propose a subspace-based AOA parameter estimation technique and a data fusion method, and analyzed the proposed method by simulation and the measurement of the real VL channel characteristics.

A Study on DOA and Delay Time Presumption based on Average Method (평균방법에 근거한 DOA와 지연시간추정에 관한 연구)

  • 이관형;송우영
    • Journal of the Korea Society for Simulation
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    • v.13 no.2
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    • pp.1-12
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    • 2004
  • This paper estimated the arrival angle and electric wave delay time using the space method law and the directions of arrival (DOA) estimation algorithm in case of signal correlation. Space method law is the method used to repress cross correlation before applying the weight value to the receiving signal. The values of the diagonal elements in the correlation matrix were averaged to replace as the diagonal elements value. In the area of wireless communication or mobile communication, there are high correlations in case of low delay time difference in multiple waves. This causes the quality of the communication to drop due to interference with the desired signal elements. This paper estimated the arrival angle and electric wave delay time using the space method law and the MUSIC algorithm. With the arrival angle algorithm, the arrival angle cannot be estimated below 5 in case of signal correlations because the angle resolution capacity decreases accordingly. The super resolution capacity was estimated to determine the arrival angle below 5 in this paper. In addition, the proposed algorithm estimated the short delay time difference to be below 20ns.

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Estimation of Distributed Signal's Direction of Arrival Using Advanced ESPRIT Algorithm (개선된 ESPRIT 알고리즘을 이용한 퍼진 신호의 신호도착방향 추정)

  • Chung, Sung-Hoon;Lee, Dong-Wook
    • Proceedings of the KIEE Conference
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    • 1999.11c
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    • pp.703-705
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    • 1999
  • In this paper, we introduce the direction of arrival(DOA) estimation of distributed signal based on the improved ESPRIT algorithm. Most research on the estimation of DOA has been performed based on the assumption that the signal sources are point sources. However, we consider a two-dimensional distributed signal source model using improved ESPRIT algorithm. In the distributed signal source model, a source is represented by two parameters, the azimuth angle and elevation angle. We address the estimation of the elevation and azimuth angles of distributed sources based on the parametric source modeling in the three-dimensional space with two uniform linear arrays. The array output vector is obtained by integrating a steering vector over all direction of arrival with the weighting of a distributed source density function. We also develop an efficient estimation procedures that can reduce the computational complexity. Some examples are shown to demonstrate explicity the estimation procedures under the distributed signal source model.

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Two Unresolved Target Angle Estimation in Phase Comparison Monopulse Radar (위상비교모노펄스를 이용한 근접한 두 표적 분리에 관한 연구)

  • Lee, Seung-Phil;Cho, Byung-Lae;Kim, Young-Soo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.6
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    • pp.539-544
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    • 2016
  • This paper improves Sherman's two-pulse method for angle estimation of two unresolved targets in phase comparison monopulse radar. The proposed method provides the angle information with only a single-pulse measurement instead of two pulses. The proposed method can estimate a single-target angle by single-target indicator, in contrast with previous techniques. The accuracy of angle estimation for proposed method is demonstrated by simulations.

Two Techniques of Angle-of-Arrival Estimation for Low-Data-Rate UWB Wireless Positioning (저속 초광대역 방식의 무선 측위에 알맞은 신호 도착 방향 추정 기법 두 가지)

  • Lee, Yong-Up;Lim, Kyeong-Sun;Park, Joo-Hyeon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.3A
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    • pp.163-171
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    • 2012
  • The signal model and weighted-average based estimation techniques are proposed to estimate the angle-of-arrival (AOA) parameters of multiple clusters for a low data rate ultrawide band (LR-UWB) based wireless positioning system. It is observed that the weighted-average based AOA estimation technique gives an optimal AOA estimate under few clusters condition, and the average based AOA estimation technique gives a correct AOA estimate under many clusters condition through computer simulation. Also, we can observe that the variance estimation error decreases as SNR increases, and the proposed techniques are superior to the conventional technique from the viewpoint of performance.

A Technique of Angle-of-Arrival Estimation in an Ultra wide Band(UWB) Indoor Wireless Communication (초광대역 옥내 무선 통신에서 신호 도착 방향 추정 기법)

  • Lee Yong-Up;Seo Young-Jun;Cho Gin-Kyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.3C
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    • pp.279-285
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    • 2006
  • In this study, a new signal model suitable for UWB indoor environments with random angle spread is proposed to estimate the angle-of-arrivals(AOAs) of UWB cluster signals in an UWB wireless communication. A subspace based estimation technique adopted for this model is investigated and the estimates of the AOA and distribution parameter on the received UWB cluster signals are obtained. The proposed model and estimation technique are verified using computer simulations, and the performance of the estimation error is analyzed.

AOA Estimation of Angle-Perturbed Sources for Wireless Communications (무선통신에서 각 처짐 신호 도래각 추정)

  • Kim, Suk-Chan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.8C
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    • pp.769-774
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    • 2005
  • If the angle of arrival (AOA) of a source is perturbed due to some reasons in a statistical way as in the environment of wireless mobile communications, a new model appropriate for such environment should be used instead of the point source model. In this paper, an angel-perturbed source model is proposed and an estimation method based on the eigen-decomposition tecklique is investigated under the model. The asymptotic distribution of the estimation errors is obtained to observe the statistical properties.