Modified uncertainty estimation of antenna factor measurement by standard site method

Bittera, M.; Smiesko, V.; Kovac, Karol

doi:10.1016/j.measurement.2011.07.002

Cited by 4 publications

(5 citation statements)

References 3 publications

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“…Similar approaches can be found on [7,8]. Finally, Mikulas Bittera [9] describes analytical expressions for the uncertainties inherent to the antenna calibration problem in OATS as well as techniques to minimize them.…”

Section: Introductionmentioning

confidence: 93%

Improving antenna gain estimations in non-ideal test sites with auto-tunable filters

et al. 2020

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Estimating the gain of an antenna prototype is an important step during both design and validation phases. Nevertheless, many small technology companies and universities are not provided with adequate infrastructure to run this type of test. In this paper, we propose a computational tool to deal with undesirable contributions coming from non-ideal test conditions over electromagnetic measurements. It is based on auto-tunable filters and therefore it allows a lab technician to run the test without a major knowledge on signal processing. After a series of evaluations based on lab measurements, the proposed tool gives results as good as those provided by two other approaches but with a reduction of the total number of experimental runs. Furthermore, it is more efficient than the traditional time gating approach for low signal-to-noise ratio environments. Finally, a validation with different antennas and test sites confirmes its robustness.

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Section: Introductionmentioning

confidence: 93%

Improving antenna gain estimations in non-ideal test sites with auto-tunable filters

et al. 2020

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“…On the other hand, the uncertainty of the measurement of the antenna factor can be minimised [16]. By using a pair of dipole antennas with known parameters in combination with the measured antenna and additionally taking into account possible covariances; since it is a trio of almost identical measurements; we can reduce the measurement model: 𝐸𝐸 = 𝑉𝑉 𝑟𝑟 + 𝑎𝑎 𝑐𝑐 + 𝐹𝐹 𝑎𝑎𝑎𝑎𝑖𝑖𝑎𝑎𝑎𝑎 + 𝛿𝛿𝑉𝑉 𝑎𝑎𝑠𝑠 + 𝛿𝛿𝑉𝑉 𝑎𝑎𝑎𝑎 + 𝛿𝛿𝑉𝑉 𝑎𝑎𝑟𝑟 + 𝛿𝛿𝑉𝑉 𝑛𝑛𝑛𝑛 + 𝛿𝛿𝛿𝛿 + 𝛿𝛿𝐹𝐹 𝑎𝑎𝑛𝑛 + 𝛿𝛿𝐹𝐹 𝑎𝑎𝑐𝑐𝑎𝑎 + 𝛿𝛿𝐹𝐹 𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎 + 𝛿𝛿𝛿𝛿 + 𝛿𝛿𝐴𝐴 𝑁𝑁𝑁𝑁 + 𝛿𝛿ℎ, (10) and subsequently also an estimate of the uncertainty of the EMI measurement.…”

Section: Choosing the Antenna Factormentioning

confidence: 99%

“…In this paper, we will show how we can reduce the estimate of the EMI measurement instrument uncertainty in a relatively simple way. Through a complex analysis, we can determine the frequency dependence of the individual uncertainty contributions and then use the division of the frequency band into sub bands, similar to the research in [16], [17]. Another way to reduce the uncertainty is to choose a suitable antenna factor [18].…”

Section: Introductionmentioning

confidence: 99%

Alternative Approach Leading to Reduction in Measurement Instrument Uncertainty of EMI Measurement

Bittera¹,

Hallon²,

Szolik³

et al. 2023

Measurement Science Review

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Even in the field of electromagnetic compatibility, low measurement uncertainty means high measurement quality. Although there are standardized procedures for obtaining the uncertainty of such a measurement, which facilitate uncertainty estimation, modern approaches show further reduction possibilities. The paper presents an alternative approach to reducing measurement instrument uncertainty in the case of electromagnetic interference measurement based on many years of our experience and a large number of measurements in this field. In the paper, two different methods of uncertainty reduction are described. The first method is based on a detailed analysis of the sources of uncertainty and the subsequent division of the analyzed frequency band into more subranges. Another method uses the choice of the antenna factor, which also contains information about the test site where the measurement is carried out. In this way, despite a lengthy analysis, it is relatively easy to achieve a measurement instrument uncertainty that is below the maximum measurement uncertainty given by the CISPR standard.

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“…The sensor is tangentially oriented to the field E. If the dipole antenna is on the resonance with incidence frequency then the terminal voltage U so on unloaded dipole can be calculated as [5].…”

Section: Electromagnetic Field and Sensor Influencementioning

confidence: 99%

“…In order to ensure sufficient accuracy, the sensors have to meet a series of conditions: frequency independence [1]; sufficient output voltage [1]; sensitivity to only one component of the electric field vector [1], [2]; linearity [2], [5]; no (or negligible) interaction with surrounding objects. In the scientific literature, attention is given to the first four conditions; however, the condition of minimal interaction is not solved.…”

Section: Introductionmentioning

confidence: 99%

Sensor Interaction as a Source of the Electromagnetic Field Measurement Error

Hartansky

Smiesko

Bittera

et al. 2014

Measurement Science Review

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The article deals with analytical calculation and numerical simulation of interactive influence of electromagnetic sensors. Sensors are components of field probe, whereby their interactive influence causes the measuring error. Electromagnetic field probe contains three mutually perpendicular spaced sensors in order to measure the vector of electrical field. Error of sensors is enumerated with dependence on interactive position of sensors. Based on that, proposed were recommendations for electromagnetic field probe construction to minimize the sensor interaction and measuring error.

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Modified uncertainty estimation of antenna factor measurement by standard site method

Cited by 4 publications

References 3 publications

Improving antenna gain estimations in non-ideal test sites with auto-tunable filters

Improving antenna gain estimations in non-ideal test sites with auto-tunable filters

Alternative Approach Leading to Reduction in Measurement Instrument Uncertainty of EMI Measurement

Sensor Interaction as a Source of the Electromagnetic Field Measurement Error

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