• Title/Summary/Keyword: Passive Localization

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Remote Localization of an Underground Acoustic Source by a Passive Sonar System

  • Jarng, Soon-Suck
    • Proceedings of the KSRS Conference
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    • 1998.09a
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    • pp.138-148
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    • 1998
  • The aim of the work described in this paper is to develop a complex underground acoustic system which detects and localizes the origin of an underground hammering sound using an array of hydrophones located about loom underground. Three different methods for the sound localization will be presented, a time-delay method, a power-attenuation method and a hybrid method. In the time-delay method, the cross correlation of the signals received from the way of sensors is used to calculate the time delays between those signals. In the power-attenuation method, the powers of the received signals provide a measure of the distances of the source from the sensors. A new hybrid method has been developed for estimating the origin of the underground acoustic source by coupling both methods. The Nelder-Meade simplex search algorithm is then used to numerically estimate the position of the source in those methods. For each method the sound localization is carried out in three dimensions underground. The distance between the true and estimated origins of the source is in some cases less than 6m for a search area of radius 250m.

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A Physical Sequence Estimation Scheme for Passive RFID Tags using Round Trip Scan (왕복 스캔을 통한 수동형 RFID태그의 물리적 순차 추정기법)

  • Lee, Joo-Ho;Kwon, Oh-Heum;Song, Ha-Joo
    • Journal of Korea Multimedia Society
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    • v.15 no.11
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    • pp.1358-1368
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    • 2012
  • A tag sequence estimation scheme is to estimate the physical sequence of passive RFID tags that are linearly spread using the movement of a RFID reader. Since RFID readers communicate with the passive tags by very weak radio waves, scanning passive tags are unstable. In this paper, we applied round-trip scanning of a reader to enhance the tag sequence estimation. Proposed scheme first determines the turning point of the reader movement, and then estimates the sequence of the tags using the tag sets scanned in each read cycles. Test experiments show that the proposed scheme can improve the estimation accuracy.

A Study of Relative Location Estimation between Static Passive RFID Tag and Mobile Robot (정적 RFID 수동태그와 이동로봇의 상대위치인식에 대한 기법연구)

  • Moon W.S.;Ji Y.K.;Park J.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.892-896
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    • 2005
  • This paper presents method of depriving the relationship between static passive RFID tag and mobile robot In the field of tag-range. We use probabilistic sensor model of RFID reader by experiments. And we proposed estimation techniques by using direction of identification and relative-distance from the sensor model. Corresponding to distribution of identification, we can correct estimated tag position in relative coordinate. Simulation and Experimental Results show that the proposed method can provide good performance and thus be used fer mobile-robot localization.

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Direct position tracking method for non-circular signals with distributed passive arrays via first-order approximation

  • Jinke Cao;Xiaofei Zhang;Honghao Hao
    • ETRI Journal
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    • v.46 no.3
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    • pp.421-431
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    • 2024
  • In this study, a direct position tracking method for non-circular (NC) signals using distributed passive arrays is proposed. First, we calculate the initial positions of sources using a direct position determination (DPD) approach; next, we transform the tracking into a compensation problem. The offsets of the adjacent time positions are calculated using a first-order Taylor expansion. The fusion calculation of the noise subspace is performed according to the NC characteristics. Because the proposed method uses the signal information from the previous iteration, it can realize automatic data associations. Compared with traditional DPD and two-step localization methods, our novel process has lower computational complexity and provides higher accuracy. Moreover, its performance is better than that of the traditional tracking methods. Numerous simulation results support the superiority of our proposed method.

Error Analysis of the Passive Localization Using Near-field Effect in the Sea (해양에서 근거리효과를 이용한 수동 위치추정 오차분석)

  • 박정수;최진혁
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.6
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    • pp.75-81
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    • 2001
  • In this paper we analyzed the localization error of near-field detection algorithm in the sea. The near-field detection algorithms using triangulation and wavefront curvature basically assume a signal in two dimension of bearing and range. But the assumption causes localization error because there is three dimension of bearing, range, and depth in the sea. Even through three dimensional effect is considered, the localization error is occurred if multipath propagation in the sea is ignored. To analyze the localization error in the sea, we simulate the near-field localization using acoustic propagation model and focused beamforming considering wavefront curvature. The simulation results indicate that localization error always occurs in the sea and the error varied with sound velocity profile, water depth, bottom slope, source range, etc.

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Rough Terrain Negotiable Mobile Platform with Passively Adaptive Double-Tracks and Its Application to Rescue Missions and EOD Missions

  • Lee, Woo-Sub;Kang, Sung-Chul;Kim, Mun-Sang;Shin, Kyung-Chul
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1048-1053
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    • 2005
  • This paper presents design and integration of the ROBHAZ-DT3, which is a newly developed mobile robot system with chained double-track mechanisms. A passive adaptation mechanism equipped between the front and rear body enables the ROBHAZ-DT3 to have good adaptability to uneven terrains including stairs. The passive adaptation mechanism reduces energy consumption when moving on uneven terrain as well as its simplicity in design and remote control, since no actuator is necessary for adaptation. Based on this novel mobile platform, a rescue version of the ROBHAZ-DT3 with appropriate sensors and a semi-autonomous mapping and localization algorithm is developed to participate in the RoboCup2004 US-Open: Urban Search and Rescue Competition. From the various experiments in the realistic rescue arena, we can verify that the ROBHAZ-DT3 is reliable in traveling rugged terrain and the proposed mapping and localization algorithm are effective in the unstructured environment with uneven ground. The another application is an military robot for an EOD(Explosive Ordnance Disposal) and reconnaissance mission. The military version of the ROBHAZ-DT3 with a water disrupter, a thermal scope and a long distance wireless communication device is developed and sent to the area of military tactics in Iraq. Consequently, the feasibility of the military version of ROBHAZ-DT3 is verified.

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Passive RFID system for Efficient Area Coverage Algorithm (Passive RFID 시스템을 이용한 효율적인 영역 탐색 기법)

  • Lee, Sangyup;Lee, Choong-Yong;Jo, Wonse;Nam, Sang Yep;Kim, Dong-Han
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.2
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    • pp.220-226
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    • 2014
  • This paper proposes an enhanced fast scanning method for multi-agent robot system. Passive RFID tag can read and store the information within the range of recognizable RF tag reader. Based on this information of Passive RFID tag, the position of mobile robot can be estimated and at the same time, the efficiency of scanning process can be improved because it provides a scanning trace for other mobile robots. This paper proposes an dfficient motion planning algorithm for mobile robots in a smart floor environment.

Target Localization Method based on Extended Kalman Filter using Multipath Time Difference of Arrival (다중경로 도달시간차이를 이용한 확장칼만필터 기반의 표적 위치추정 기법)

  • Cho, Hyeon-Deok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.251-257
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    • 2021
  • An underwater platform operating a passive sonar needs to acquire the target position to perform its mission. In an environment where sea-floor reflections exist, the position of a target can be estimated using the difference in the arrival time between the signals received through multipaths. In this paper, a method of localization for passive sonar is introduced, based on the EKF (Extended Kalman Filter) using the multipath time difference of arrival in underwater environments. TMA (Target Motion Analysis) requires accumulated measurements for long periods and has limitations on own-ship movement, allowing it to be used only in certain situations. The proposed method uses an EKF, which takes measurements of the time differences of the signal arrival in multipath environments. The method allows for target localization without restrictions on own-ship movement or the need for an observation time. To analyze the performance of the proposed method, simulation according to the distance and depth of the target was performed repeatedly, and the localization error according to the distance and water depth were analyzed. In addition, the correlation with the estimated position error was assessed by analyzing the arrival time difference according to the water depth.

New Acoustic Imaging Method Development for Localization of an Underground Acoustic Source Using a Passive SONAR System

  • Jarng, Soon-Suck
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.2E
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    • pp.10-17
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    • 1999
  • The aim of the work described in this paper is to develop a complex underground acoustic system which detects and localizes the origin of an underground hammering sound using an array of hydrophones located about 100m underground. Three different methods for the sound localization will be presented, a time-delay method, a power-attenuation method and a hybrid method. In the time-delay method, the cross correlation of the signals received from the array of sensors is used to calculate the time delays between those signals. In the power-attenuation method, the powers of the received signals provide a measure of the distances of the source from the sensors. In the hybrid method, both informations of time-delays and power-ratios are coupled together to produce better performance of position estimation. A new acoustic imaging technique has been developed for improving the hybrid method. This new acoustic imaging method shows the multi-dimensional distribution of the normalized cost function, so as to indicate the trend of the minimizing direction toward the source location. For each method the sound localization is carried out in three dimensions underground. The distance between the true and estimated origins of the source is 28m for a search area of radius 250m.

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Method of Master Receiver Selection Using DOP for Time Synchronization in TDOA-Based Localization (TDOA 기반 위치탐지를 위한 DOP을 이용한 시각동기화 주수신기 선택 기법)

  • Kim, Sanhae;Song, Kyuha;Kwak, Hyungyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.9
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    • pp.1069-1080
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    • 2016
  • TDOA(Time Difference Of Arrival)-based localization system such as the passive surveillance system performs the time synchronization between the receivers after separated installing multiple receivers to set the same clock for all receivers. And it estimates 2D(or 3D) location of the target by solving intersection of the multiple hyperbola(or hyperboloid) using TDOA. To perform time synchronization, one receiver must be set to the master, and it provide the reference data to compensate the clock of the rest of the slaves. The positioning accuracy of TDOA-based localization system is changed in accordance with the master that is selected among multiple receivers. So, the optimum receiver which is selected among multiple receivers must be set to master to get best performance in the considered deployment of receivers. In this paper, we propose a selection scheme of master receiver for time synchronization using DOP(Dilution Of Precision) which is based on location of the target and the multiple receivers. The proposed scheme has low complexity and short processing time, and it is easy to automate in the TDOA-based localization systems.