Performance analysis and optimization of passive location to stationary target

Ye, Zijian; Xiao, Chen; Hu, Yuantai; Li, Gang; Li, Jianxun

doi:10.1109/chicc.2016.7554106

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…D i represents the distance between the PD source and the i antenna; whereas, ‘ c ’ denotes the speed of electromagnetic wave:

d_{i} = \sqrt{{(x_{i} - x_{0})}^{2} + {(y_{i} - y_{0})}^{2} + {(z_{i} - z_{0})}^{2}} = c t_{i}

The time difference between, the PD signal's arrival to, the i antenna and the j antenna is denoted by the t ij ; while, d ij represents the distance difference between, the PD signal's arrival to, the i antenna and the j antenna.

d_{i j} = \sqrt{{(x_{i} - x_{0})}^{2} + {(y_{i} - y_{0})}^{2} + {(z_{i} - z_{0})}^{2}} - \sqrt{{(x_{j} - x_{0})}^{2} + {(y_{j} - y_{0})}^{2} + {(z_{j} - z_{0})}^{2}} = c t_{i j}

In order to facilitate the analysis of the angle accuracy problem, the three‐dimensional (3D) space is reduced to 2D space and the number of array antennas is considered to be three [24 ]. Placement of antenna is shown in Fig.…”

Section: Error Analysis Of Tdoa Algorithm Based On Uhf Antenna Arraymentioning

confidence: 99%

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Grid‐searching method in polar coordinate system for PD location in substations

Huang

et al. 2020

IET sci. meas. technol.

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This study presents a grid‐searching method in polar coordinate system (GSMIPCS) for the partial discharge (PD) location, in which the grids were divided into sectors according to radial distance r, azimuthal angle θ and polar angle φ. After theoretically proving that the positioning angle error, based on time difference of arriving algorithm, is relatively small, this study gives the process of PD positioning in two‐dimensional and three‐dimensional polar coordinates. Thereafter, this study discusses the optimal setting of grid parameters. The simulation results show that the success rate of angle positioning (SROAP), i.e. a percentage of positioning number with positioning angle error <2° in the total positioning number, for θ angle using two‐dimensional (2D) GMSIPCS is 95.87%. For 3D GMSIPCS, the SROAP for θ and φ are 86.18 and 92%, respectively; and the computational cost is lower to 216. Finallly, on‐site experiments in the substation verify the effectiveness of the proposed method.

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“…D i represents the distance between the PD source and the i antenna; whereas, ‘ c ’ denotes the speed of electromagnetic wave:

d_{i} = \sqrt{{(x_{i} - x_{0})}^{2} + {(y_{i} - y_{0})}^{2} + {(z_{i} - z_{0})}^{2}} = c t_{i}

d_{i j} = \sqrt{{(x_{i} - x_{0})}^{2} + {(y_{i} - y_{0})}^{2} + {(z_{i} - z_{0})}^{2}} - \sqrt{{(x_{j} - x_{0})}^{2} + {(y_{j} - y_{0})}^{2} + {(z_{j} - z_{0})}^{2}} = c t_{i j}

Section: Error Analysis Of Tdoa Algorithm Based On Uhf Antenna Arraymentioning

confidence: 99%

“…In order to facilitate the analysis of the angle accuracy problem, the three-dimensional (3D) space is reduced to 2D space and the number of array antennas is considered to be three [24]. Placement of antenna is shown in Fig.…”

Section: Cramer-rao Low Bound Analysismentioning

confidence: 99%