Study on applications of clock synchronization technology in traveling wave location

Tian, Ling; Zhou, Huifeng; Zhang, Xiangjun; Li, Ruifeng

doi:10.1109/ciced.2012.6508501

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…Next, the original physical parameters are processed to obtain the positioning parameters (wave direction, distance, distance difference, and height). Within a particular 3D space, the locus of a point that maintains a constant positional parameter is a surface, which is called the position plane [17]. A set of observation equations were determined according to a plurality of positioning parameters, and the intersection point of the position plane can be obtained by solving these equations.…”

Section: Principle Of Updsmentioning

confidence: 99%

“…Therefore, the positioning problem of a roadheader is converted into a nonlinear optimal estimation problem. For the TOA positioning model, the most efficient methods for a nonlinear optimal estimation are the Caffery algorithm and Taylor series method [17]. The Caffery algorithm replaces the original spherical position surface with the plane position surface [24].…”

Section: Fusion Positioning Algorithm Based On Caffery Transform and ...mentioning

confidence: 99%

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Ultra-wideband pose detection system for boom-type roadheader based on Caffery transform and Taylor series expansion

Zhang

et al. 2017

Meas. Sci. Technol.

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To realize unmanned pose detection of a coalmine boom-type roadheader, an ultra-wideband (UWB) pose detection system (UPDS) for a roadheader is designed, which consists of four UWB positioning base stations and three roadheader positioning nodes. The positioning base stations are used in turn to locate the positioning nodes of the roadheader fuselage. Using 12 sets of distance measurement information, a time-of-arrival (TOA) positioning model is established to calculate the 3D coordinates of three positioning nodes of the roadheader fuselage, and the three attitude angles (heading, pitch, and roll angles) of the roadheader fuselage are solved. A range accuracy experiment of a UWB P440 module was carried out in a narrow and closed tunnel, and the experiment data show that the mean error and standard deviation of the module can reach below 2 cm. Based on the TOA positioning model of the UPDS, we propose a fusion-positioning algorithm based on a Caffery transform and Taylor series expansion (CTFPA). We derived the complete calculation process, designed a flowchart, and carried out a simulation of CTFPA in MATLAB, comparing 1000 simulated positioning nodes of CTFPA and the Caffery positioning algorithm (CPA) for a 95 m long tunnel. The positioning error field of the tunnel was established, and the influence of the spatial variation on the positioning accuracy of CPA and CTFPA was analysed. The simulation results show that, compared with CPA, the positioning accuracy of CTFPA is clearly improved, and the accuracy of each axis can reach more than 5 mm. The accuracy of the X-axis is higher than that of the Y-and Z-axes. In section X-Y of the tunnel, the root mean square error (RMSE) contours of CTFPA are clear and orderly, and with an increase in the measuring distance, RMSE increases linearly. In section X-Z, the RMSE contours are concentric circles, and the variation ratio is nonlinear.

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Section: Principle Of Updsmentioning

confidence: 99%

Section: Fusion Positioning Algorithm Based On Caffery Transform and ...mentioning

confidence: 99%

Ultra-wideband pose detection system for boom-type roadheader based on Caffery transform and Taylor series expansion

Zhang

et al. 2017

Meas. Sci. Technol.

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“…Traditional localization methods require LOS propagation links between mobile station and base stations (BS). However, in most cases, the direct path from the MS to a BS is blocked by buildings and other obstacles, thus the signal measurement error will exist because of signal reflection and diffraction, which is termed the NLOS error [2]. NLOS propagation causes the measured distances to be larger than the true distance between the MS and BS.…”

Section: Introductionmentioning

confidence: 99%

A TOA Location Method Using ROS Scattering Model in NLOS Environment

Xie

Ruan

2013

AMM

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In most cellular propagation environments, a LOS propagation path does not exist to all of the BSs that participate in locating a target MS. The signal received by the receiver is a multipath and interference mixed signal, which is NLOS signal. In NLOS conditions, the traditional location algorithms perform poorly. Therefore, a scattering-model-based location method for cellular network was proposed in this paper. Based on the Ring of Scatters (ROS) model, with the use of the mean value of the TOA measurements, the method mitigated the effects of NLOS.

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Study on applications of clock synchronization technology in traveling wave location

Cited by 2 publications

References 1 publication

Ultra-wideband pose detection system for boom-type roadheader based on Caffery transform and Taylor series expansion

Ultra-wideband pose detection system for boom-type roadheader based on Caffery transform and Taylor series expansion

A TOA Location Method Using ROS Scattering Model in NLOS Environment

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