• Title/Summary/Keyword: 도래시간

Search Result 172, Processing Time 0.027 seconds

Paper Pulse train frequency estimation using DTOA in the multi-signal environment (DTOA를 이용한 혼합된 다중 신호 환경 하에서 펄스 열 주파수 추정)

  • 김정호
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.26 no.8B
    • /
    • pp.1085-1091
    • /
    • 2001
  • 이 논문에서는 주기적인 특성을 가진 펄스 열들이 서로 다른 초기 위상을 가지고 수신기에 입력되었을 때 도래시간 차이를 이용하여 펄스 열을 분리하는 방법을 제시하고자 한다. 주기적인 펄스 열을 주파수 관점에서 고찰해 보면 하나의 펄스 열 주파수 값으로 특성 지울 수 있으며 이러한 성질은 다중의 펄스 열이 포함된 신호 환경 하에서도 동일하게 나타난다. 제안된 기법은 기존의 스펙트럼 영역에서 사용된 신호 도래 시간의 지수함수로의 매핑을 대신하여 신호 도래 시간 차이를 이용하였으며 실제 다중 환경에서 나타날 수 있는 신호 성분들의 펄스 열 주파수 추정을 위하여 기존의 방법과 비교함으로써 제시한 방법의 타당성을 검증하였다.

  • PDF

Effective ToA-Based Indoor Localization Method Considering Accuracy in Wireless Sensor Networks (무선 센서 네트워크 상에서 정확도를 고려한 효과적인 도래시간 기반 무선실내측위방법)

  • Go, Seungryeol
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.41 no.6
    • /
    • pp.640-651
    • /
    • 2016
  • We propose an effective ToA-based localization method considering accuracy in indoor environments. The purpose of the localization system is to estimate the coordinates of the geographic location of target device. In indoor environments, accurately estimating the location of a target device is not easy due to various errors. The accuracy of wireless localization is influenced by NLOS errors. ToA-based localization measures the location of a target device using the distances between a mobile device and three or more base stations. However, each of the NLOS errors along a distance estimated from a target device to a base station is different because of dissimilar obstacles. To accurately estimate the target's location, an optimized localization process is needed in indoor environments. In this paper, effective ToA-based localization method process is proposed for improving accuracy in wireless sensor networks. Performance evaluations are presented, and the experimental localization system results are proved through comparisons of various localization methods with the proposed methods.

Nonnegative Matrix Factorization Based Direction-of-Arrival Estimation of Multiple Sound Sources Using Dual Microphone Array (이중 마이크로폰을 이용한 비음수 행렬분해 기반 다중음원 도래각 예측)

  • Jeon, Kwang Myung;Kim, Hong Kook;Yu, Seung Woo
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.54 no.2
    • /
    • pp.123-129
    • /
    • 2017
  • This paper proposes a new nonnegative matrix factorization (NMF) based direction-of-arrival (DOA) estimation method for multiple sound sources using a dual microphone array. First of all, sound signals coming from the dual microphone array are segmented into consecutive analysis frames, and a steered-response power phase transform (SRP-PHAT) beamformer is applied to each frame so that stereo signals of each frame are represented in a time-direction domain. The time-direction outputs of SRP-PHAT are stored for a pre-defined number of frames, which is referred to as a time-direction block. Next, In order to estimate DOAs robust to noise, each time-direction block is normalized along the time by using a block subtraction technique. After that, an unsupervised NMF method is applied to the normalized time-direction block in order to cluster the directions of each sound source in a multiple sound source environments. In particular, the activation and basis matrices are used to estimate the number of sound sources and their DOAs, respectively. The DOA estimation performance of the proposed method is evaluated by measuring a mean absolute error (MAE) and the standard deviation of errors between the oracle and estimated DOAs under a three source condition, where the sources are located in [$-35{\circ}$, 5m], [$12{\circ}$, 4m], and [$38{\circ}$, 4.m] from the dual microphone array. It is shown from the experiment that the proposed method could relatively reduce MAE by 56.83%, compared to a conventional SRP-PHAT based DOA estimation method.

Performance of covariance matrix fitting-based direction-of-arrival estimation algorithm using compressed sensing in the frequency domain (주파수 영역에서 공분산 행렬 fitting 기반 압축센싱 도래각 추정 알고리즘의 성능)

  • Zhang, Xueyang;Paik, Ji Woong;Hong, Wooyoung;Ahn, Jae-Kyun;Kim, Seongil;Lee, Joon-Ho
    • The Journal of the Acoustical Society of Korea
    • /
    • v.36 no.6
    • /
    • pp.394-400
    • /
    • 2017
  • This paper shows the extension of SpSF (Sparse Spectrum Fitting) algorithm, which is one of covariance matrix fitting-based DOA (Direction-of-Arrival) estimation algorithms, from the time domain to the frequency domain, and presents that SpSF can be implemented in the frequency domain. The superiority of the SpSF algorithm has been demonstrated by comparing DOA estimation performance with the performance of Conventional DOA estimation algorithm in the frequency domain for sinusoidal incident signals.

Models and Charcteristics of Multipath Propagation on Mobile Radio in an Urban Area (도시내 이동무선에서의 다중파전파전파의 특성 및 모델에 관한 연구)

  • 하덕호
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.14 no.4
    • /
    • pp.293-306
    • /
    • 1989
  • In this paper, the models and characteristics of multipath propagation in an urban environment are described. Three propagation models(a random model, a ray model and a method of estimating time delay is proposed based on the envelope correlation between two radio frequencies. It is shown on the basis of laboratory simulation and field tests that the simple two-ray model is an adequate model for the fundamental study of the multipath propagation characteristic of the mobile radiowave and the estimating time delays of multipath-propagated waves in an urban area.

  • PDF

DOA Detection on Spilt-beam Transducers Using Quadrature sampling Method (스프리트-빔 변환기에서의 4분 샘플링을 이용한 도래방향 탐지)

  • Park Soon-Jong;Lee Mi-Hyun;Kim Moo-Joon;Kim Chun-Duck;Cha Kyung-Hwan
    • Proceedings of the Acoustical Society of Korea Conference
    • /
    • spring
    • /
    • pp.149-152
    • /
    • 2004
  • 본 연구에서는 Split-beam 변환기에 적용 가능한 방향 탐지 알고리듬으로써 4분 샘플링에 의한 시간 영역에서의 음원 도래 방향 탐지법을 검토하고자 한다. 외부 잡음을 고려한 환경하에서도 완전 샘플링 및 4분 샘플링 후 주파수 영역에서의 시간 지연 계산법보다 4분 샘플링에 의한 시간 영역에서의 상호상관 기법이 경제적인 측면과 분해능의 측면에서 적절하다는 것을 확인하였다.

  • PDF

A Study on Maximum Likelihood Method for Multi Target Estimation (다중 목표물 추정을 위한 최대 우도 방법에 대한 연구)

  • Lee, Min-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.13 no.3
    • /
    • pp.165-170
    • /
    • 2013
  • In spatial, desired target direction of arrival estimation is to find a incidental signal direction on receive antennas. In this paper, we were an estimation a desired target direction of arrival using maximum likelihood method. Direction of arrival estimation method estimated a desired target calculating the maximum likelihood sensitivity using singular value decomposition above threshold signals among receive signals in maximum likelihood method. Through simulation, we were analysis a performance to compare existing method and proposal method. In direction of arrival estimation, proposed method is effectivity to decrease processing time because it is not doing an eigen decomposition in direction of arrival estimation, and desired target correctly estimated. We showed that proposal method improve more target estimation than general method.

A Study on Target Incident Signal Estimaion Technique of spatial Spectrum in Wireless Network System (공간 영역 신호에서 다중 빔 형성을 이용한 목표물 추정 방법에 대한 연구)

  • Lee, Kwan-Hyeong;Song, Woo-Young;Lee, Myeong-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.13 no.2
    • /
    • pp.137-142
    • /
    • 2013
  • Direction of arrival is estimating for desire signal direction among received signal on antenna in spatial. In this paper, we were an estimation a receiving signal direction of arrival using multi beam forming in radar. We proposed, by signal direction of arrival estimation method, an algorithm which combine spatial correlation matrix weight value and beam steering algorithm in this paper. Through simulation, we were analysis a performance to compare general algorithm and proposal algorithm. In direction of arrival estimation, proposed algorithm is effectivity to decrease processing time because it is not doing an eigen decomposition. We showed that proposal algorithm improve more target estimation than general algorithm.

The Estimaion of Sound source of DIFAR Sonobuoy in Time Domain (DIFAR Sonobuoy의 시간영역에서의 음원 방향 추정)

  • Kim Jung-Hwa;Lee Baek-Lyeol;Bae Hyeon-Gee;Park Soon-Jong;Kim Chun-Duck;Lim Jung-Bin;Lee Yung-Yook
    • Proceedings of the Acoustical Society of Korea Conference
    • /
    • spring
    • /
    • pp.241-244
    • /
    • 2002
  • 시간영역에서의 음원 방향 추정 알고리즘을 이용하여 수동형 DIFAR Sonobuoy 의 도래각 추정 성능 평가 시스템을 구성하고 추정 오차에 대하여 고찰하였다. 일반 실내에서 음원주파수 $f_0(700Hz\~1.7kHz)$로 입사하는 음원에 대하여 도래각을 추정한 결과 한 주기당 한계 ${\pm}10^{\circ}$ 이내로 약 $80\%$ 이상 추정 결과로 나타났으며 특히, 1.7kHz 의 경우는 ${\pm}2.97^{\circ}$로 적은 오차를 보임에 따라 이 대역에서의 기준 주파수로 평가 시스템에 적용할 수 있음을 확인하였다.

  • PDF

A TOA Shortest Distance Algorithm for Estimating Mobile Location (모바일 위치추정을 위한 TOA 최단거리 알고리즘)

  • Pradhan, Sajina;Hwang, Suk-Seung
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.8 no.12
    • /
    • pp.1883-1890
    • /
    • 2013
  • Location detection technology (LDT) is one of the core techniques for location based service (LBS) in wireless communication for improving resource management and quality of services. The location of a mobile station (MS) is estimated using the time of arrival (TOA) technique based on three circles with centers corresponding to coordinates of three base stations (BSs) and radius corresponding to distances between MS and BSs. For accurately estimating the location of MS, three circles should meet at a point for the trilateration method, but they generally do not meet a point because the radius is increased depending on the number of time delay for estimating the distance between MS and BS and the carrier frequency. The increased three circles intersect at six points and the three intersection points among them should be generally placed close to coordinate of the location for the specific MS. In this paper, we propose the shortest distance algorithm for TOA trilateration method, to select three interior intersection points from entire six points. The proposed approach selects three intersection points with the shortest distances between coordinates of MS and intersection points and determines the averaged coordinate of the selected three points, as the location of the specific MS. We demonstrate the performance of the proposed algorithm using a typical computer simulation example.