• Title/Summary/Keyword: TDOA 측정치

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Position Estimation Technique of High Speed Vehicle Using TLM Timing Synchronization Signal (TLM 시각 동기 신호를 이용한 고속 이동체의 위치 추정)

  • Jin, Mi-Hyun;Koo, Ddeo-Ol-Ra;Kim, Bok-Ki
    • Journal of Advanced Navigation Technology
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    • v.26 no.5
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    • pp.319-324
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    • 2022
  • If radio interference occurs or there is no navigation device, radio navigation of high-speed moving object becomes impossible. Nevertheless, if there are multiple ground stations and precise range measurement between the high-speed moving object and the ground station can be secured, it is possible to estimate the position of moving object. This paper proposes a position estimation method using high-precision TDOA measurement generated using TLM signal. In the proposed method, a common error of moving object is removed using the TDOA measurements. The measurements is generated based on TLM signal including SOQPSK PN symbol capable of precise timing synchronization. Therefore, since precise timing synchronization of the system has been performed, the timing error between ground stations has a very small value. This improved the position estimation performance by increasing the accuracy of the measured values. The proposed method is verified through software-based simulation, and the performance of estimated position satisfies the target performance.

A Design of Multiple Jammers Localization Algorithm Based on TDOA Method (TDOA기법 기반의 다중 재머 위치 추정 알고리즘 설계)

  • Kang, Hee Won;Lim, Deok Won;Heo, Moon-Beom
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.6
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    • pp.729-737
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    • 2012
  • In case that multiple jammers are transmitting the signals which are the same type a general algorithm based on TDOA method cannot estimate the positions of multiple jammers because there are many TDOA measurements including true and false values. This paper, therefore, designs a new algorithm based on TDOA method to localize multiple jammers. In this algorithm, TDOA measurements are obtained by rotating the reference sensor, and then the positions of multiple jammers can be estimated by detecting congregated point among the multiple estimated positions from TDOA measurements. Through computer simulations, it is verified that this algorithm localizes the multiple jammers well. The performance of the algorithm are also analysed by changing the distance between sensors and jammer, and sampling frequency.

An Efficient QCLS Positioning Method Using Weight Estimation for TDOA Measurements (TDOA 측정치를 이용한 가중치 추정방식의 QCLS 측위 방법)

  • Kim, Dong-Hyouk;Song, Seung-Hun,;Park, Kyoung-Soon;Sung, Tae-Kyung
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.44 no.4 s.316
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    • pp.1-7
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    • 2007
  • When the sensor geometry is poor, the user position estimate obtained by of GN (Gauss-Newton) method is often diverged in radio navigation. In other to avoid divergence problem QCLS (Quadratic Correction Least Square) method using TDOA (Time Difference of Arrival) measurements is introduced, but the estimation error is somewhat large. This paper presents the modified QCLS method using weighted least square. Since the weighting matrix is influenced by the unknown user position, two-step approach is employed in the proposed method. The weighting matrix is estimated in the first step using least square, and then find user position is obtained using weighted least square. Simulation results show that the performance of the proposed method is superior to the conventional QCLS all over the workspace.

Mobile Station Location Using GPS/TDOA (GPS/TDOA 혼합을 이용한 무선 측위 알고리즘)

  • Son, Hyung-Chul;Kim, Wuk;Lee, Hyung-Keun;Jee, Gyu-In;Lee, Jang-Gyu
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2099-2101
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    • 2002
  • GPS 단독에 의한 이동국의 위치 결정 방법은 도심이나 실내와 같이 위성 가시성이 결여된 환경에서 위치해를 생성하지 못하는 단점이 있다. 반면 TOA나 TDOA에 의한 방법에 의하여 이동국의 위치결정을 시도할 경우 기지국과 이동국 사이의 밀집한 건물 등에 의하여 NLOS 오차가 발생하게 된다. 본 논문에서는 GPS와 TDOA의 상호보완적인 특성을 이용하여 위성 가시성과 NLOS의 문제를 효율적으로 해결할 수 있는 GPS/TDOA 혼합 무선 측위 알고리즘과 NLOS 오차완화 알고리즘을 제안하였다. 이동 통신망에서 획득된 실측 측정치를 이용하여 실험을 수행하였으며, 위치 결정 영역이 확대되고 위치 정확도가 크게 향상됨을 확인 할 수 있었다.

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A Study of DOA estimation based on TDOA/AOA for jammer localization (전파위협원 위치결정을 위한 TDOA/AOA 기반의 DOA 추정 기법 연구)

  • Choi, Heon-Ho;Jin, Mi-Hyun;Lim, Deok-Won;Nam, Gi-Wook;Park, Chan-Sik;Lee, Sang-Jeong
    • Journal of Advanced Navigation Technology
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    • v.15 no.6
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    • pp.962-969
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    • 2011
  • This paper proposes the DOA estimation method based on TDOA/AOA for jammer localization method in GBAS environment. The proposed method can effectively estimate DOA of jamming signal as the range for DOA estimation is reduced remarkably by using DOP and 1st approximate solution using TDOA measurements only. Through the proposed method, more precise DOA can be obtained and the performance of jammer localization is increased simultaneously. Also, the effectiveness of proposed method will be confirmed through the simulated results.

TDOA Measurement Based Taylor Series Design Method Considering Height Error for Real-Time Locating Systems (실시간 위치추적 시스템에서 높이 오차를 고려한 TDOA 측정치 기반 테일러 급수 설계 방법)

  • Kang, Hee-Won;Hwang, Dong-Hwan;Park, Chan-Sik
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.8
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    • pp.804-809
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    • 2010
  • This paper proposes a Taylor-series design method which reduces the height error of the tag when readers are arranged at the same height in 3-dimensional space. The proposed method consists of two steps. Firstly, the planar position is estimated by the Taylor-series method using the TDOA measurement. Next, the height is estimated from the estimated planar position. In order to show the validity of the proposed method, computer simulations were performed for the static case and linear trajectory of the tag. Results show that the proposed method gives convergent estimated position and better height estimate than the Taylor series method.

The Geolocation Based on Total Least Squares Algorithm Using Satellites (위성을 이용한 Total Least Squares 기반 신호원 측위 알고리즘)

  • 박영미;조상우;전주환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.2C
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    • pp.255-261
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    • 2004
  • The problem of geolocation using multiple satellites is to determine the position of a transmitter located on the Earth by processing received signals. The specific problem addressed in this paper is that of estimating the position of a stationary transmitter located on or above the Earth's surface from measured time difference of arrivals (TDOA) by a geostationary orbiting (GSO) satellite and a low earth orbiting (LEO) satellite. The proposed geolocation method is based on the total least squares (TLS) algorithm. Under erroneous positions of the satellites together with noisy TDOA measurements, the TLS algorithm provides a better solution. By running Monte-Carlo simulations, the proposed method is compared with the ordinary least squares (LS) approach.

TDOA Based Moving Target Velocity Estimation in Sensor Network (센서네트워크 내에서 TDOA 측정치 기반의 이동 표적 속도 정보 추정)

  • Kim, Yong Hwi;Park, Min Soo;Park, Jin Bae;Yoon, Tae Sung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.3
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    • pp.445-450
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    • 2015
  • In the moving target problem, the velocity information of the moving target is very important as well as the high accuracy position information. To solve this problem, active researches are being conducted recently with combine the Time Difference of Arrival (TDOA) and Frequency Delay of Arrival(FDOA) measurements. However, since the FDOA measurement is utilizing the Doppler effect due to the relative velocity between the target source and the receiver sensor, it may be difficult to use the FDOA measurement if the moving target speed is not sufficiently fast. In this paper, we propose a method for estimating the position and the velocities of the target by using only the TDOA measurements for the low speed moving target in the indoor environment with sensor network. First, the target position and heading angle are obtained from the estimated positions of two attached transmitters on the target. Then, the target angular and linear velocities are also estimated. In addtion, we apply the Instrumental Variable (IV) technique to compensate the estimation error of the estimated target velocity. In simulation, the performance of the proposed algorithm is verified.

Design of a Jammer Localization System using AOA method (AOA 기법을 이용한 재머 위치추적시스템 설계)

  • Lim, Deok-Won;Choi, Yun-Sub;Lee, Sang-Jeong;Hoe, Moon-Boem;Nam, Gi-Wook
    • Journal of Advanced Navigation Technology
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    • v.15 no.6
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    • pp.1241-1249
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    • 2011
  • There are TOA, TDOA and AOA method to estimate the position of the electromagnetic wave transmitter by using the multiple receivers at the fixed position. Among these methods, AOA method is suitable for the jammer localization system. Because TOA method can be adopted for the clocks of the transmitter and the receiver are synchronized each other, and TDOA method can be only adopted for a broad-band jamming signal. This paper, therefore, analyzes the characteristics of the AOA measurements and the sensitivity of the positioning performance according to the system design parameters. Based on the analyzed results, the jammer localization system to meet the desired performance is designed, and it has been checked that the positioning error for the jammer located at a distance of 10km is lower than 38m through the simulation results.

Verification of GPS Aided Error Compensation Method and Navigation Algorithm with Raw eLoran Measurements (실제 eLoran TOA 측정치를 이용한 GPS Aided 오차 보상 기법과 항법 알고리즘의 검증)

  • Song, Se-Phil;Choi, Heon-Ho;Kim, Young-Baek;Lee, Sang-Jeong;Park, Chan-Sik
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.9
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    • pp.941-946
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    • 2011
  • The Loran-C, a radio navigation system based on TDOA measurements is enhanced to eLoran using TOA measurements instead of TDOA measurements. Many error factors such as PF, SF, ASF, clock errors and unknown biases are included in eLoran TOA measurements. Because these error factors can cause failure in eLoran navigation algorithm, these errors must be compensated for high accuracy eLoran navigation results. Compensation of ASF and unknown biases are difficult to calculate, while the others such as PF and SF are relatively easy to eliminate. In order to compensate all errors in eLoran TOA measurements, a simple GPS aided bias compensation method is suggested in this paper. This method calculates the bias as the difference of TOA measurement and the range between eLoran transmitters and the receiver whose position is determined using GPS. The real data measured in Europe are used for verification of suggested method and navigation algorithm.