A combined algorithm approach for PD location estimation using RF antennas

José Manuel Fresno, Guillermo Robles, Juan Martínez Martinez-Tarifa, Brian G. Stewart

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Abstract

To locate the positions of partial discharge sources in free space at least four RF antennas are arranged in a suitable spatial geometry to detect the radiated electromagnet energy from the discharge. The time-difference-of-arrival (TDOA) between the signals from each antenna are then used within multi-lateration equations to determine the position of the source. The iterative Hyperbolic Least Squares (HLS) method and the non-iterative Maximum Likelihood Estimator (MLE) method are two common techniques used in the literature to solve the multi-lateration equations. This paper investigates the ability of combining MLE and HLS to improve location accuracy and maintain fast location computation time. To this end HLS, MLE and the combined MLEHLS method are evaluated in terms of location accuracy and computation performance for three spatial antenna configurations, namely Square, Pyramidal and Trapezoidal arrangements. The location accuracies for each method are evaluated for theoretical TDOA values and also for the case when a finite sampling rate of 10G samples-per-second is considered, the latter is implemented through appropriate rounding up of TDOA values by one sample time. It is shown that MLE-HLS produces improved location accuracy compared with HLS and MLE for both theoretical and finite sampled TDOA values. In addition, it is shown that MLE-HLS improves significantly the computation time over the iterative HLS method.
LanguageEnglish
Title of host publication2017 IEEE Electrical Insulation Conference (EIC)
Place of PublicationPiscataway, NJ
PublisherIEEE
ISBN (Print)9781509039654
DOIs
Publication statusPublished - 18 Aug 2017
EventIEEE Electrical Insulation Conference 2017 - Sheraton, Baltimore, United States
Duration: 11 Jun 201714 Jun 2017
http://electricalinsulationconference.com/

Conference

ConferenceIEEE Electrical Insulation Conference 2017
Abbreviated titleEIC 2017
CountryUnited States
CityBaltimore
Period11/06/1714/06/17
Internet address

Fingerprint

Maximum likelihood
Antennas
Electromagnets
Partial discharges
Sampling
Geometry
Time difference of arrival

Keywords

  • radio-frequency
  • localization
  • partial discharges
  • location algorithms

Cite this

Fresno, J. M., Robles, G., Martinez-Tarifa, J. M., & Stewart, B. G. (2017). A combined algorithm approach for PD location estimation using RF antennas. In 2017 IEEE Electrical Insulation Conference (EIC) Piscataway, NJ: IEEE. https://doi.org/10.1109/EIC.2017.8004695
Fresno, José Manuel ; Robles, Guillermo ; Martinez-Tarifa, Juan Martínez ; Stewart, Brian G. / A combined algorithm approach for PD location estimation using RF antennas. 2017 IEEE Electrical Insulation Conference (EIC). Piscataway, NJ : IEEE, 2017.
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abstract = "To locate the positions of partial discharge sources in free space at least four RF antennas are arranged in a suitable spatial geometry to detect the radiated electromagnet energy from the discharge. The time-difference-of-arrival (TDOA) between the signals from each antenna are then used within multi-lateration equations to determine the position of the source. The iterative Hyperbolic Least Squares (HLS) method and the non-iterative Maximum Likelihood Estimator (MLE) method are two common techniques used in the literature to solve the multi-lateration equations. This paper investigates the ability of combining MLE and HLS to improve location accuracy and maintain fast location computation time. To this end HLS, MLE and the combined MLEHLS method are evaluated in terms of location accuracy and computation performance for three spatial antenna configurations, namely Square, Pyramidal and Trapezoidal arrangements. The location accuracies for each method are evaluated for theoretical TDOA values and also for the case when a finite sampling rate of 10G samples-per-second is considered, the latter is implemented through appropriate rounding up of TDOA values by one sample time. It is shown that MLE-HLS produces improved location accuracy compared with HLS and MLE for both theoretical and finite sampled TDOA values. In addition, it is shown that MLE-HLS improves significantly the computation time over the iterative HLS method.",
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Fresno, JM, Robles, G, Martinez-Tarifa, JM & Stewart, BG 2017, A combined algorithm approach for PD location estimation using RF antennas. in 2017 IEEE Electrical Insulation Conference (EIC). IEEE, Piscataway, NJ, IEEE Electrical Insulation Conference 2017, Baltimore, United States, 11/06/17. https://doi.org/10.1109/EIC.2017.8004695

A combined algorithm approach for PD location estimation using RF antennas. / Fresno, José Manuel; Robles, Guillermo; Martinez-Tarifa, Juan Martínez; Stewart, Brian G.

2017 IEEE Electrical Insulation Conference (EIC). Piscataway, NJ : IEEE, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Fresno JM, Robles G, Martinez-Tarifa JM, Stewart BG. A combined algorithm approach for PD location estimation using RF antennas. In 2017 IEEE Electrical Insulation Conference (EIC). Piscataway, NJ: IEEE. 2017 https://doi.org/10.1109/EIC.2017.8004695