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Reference Measurements of Error Vector Magnitude
The experiment here was to demonstrate that we can reliably measure the Reference Waveforms designed in the IEEE P1765 proposed standard and calculate EVM along with the associated uncertainties. The measurements were performed using NIST's calibrated sampling oscilloscope and were traceable to the primary standards.We have uploaded the following two datasets. (1) Table 3 contains the EVM values (in %) for the Reference Waveforms 1--7 after performing the uncertainty analyses. The Monte Carlo means are also compared with the ideal values from the calculations in the IEEE P1765 standard.(2) Figure 3 shows the complete EVM distribution upon performing uncertainty analysis for Reference Waveform 3 as an example. Each of the entries in Table 3 is associated with an EVM distribution similar to that shown in Fig. 3.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"006:55"
]
|
| contactPoint |
{
"fn": "Paritosh Manurkar",
"hasEmail": "mailto:paritosh.manurkar@nist.gov"
}
|
| description | The experiment here was to demonstrate that we can reliably measure the Reference Waveforms designed in the IEEE P1765 proposed standard and calculate EVM along with the associated uncertainties. The measurements were performed using NIST's calibrated sampling oscilloscope and were traceable to the primary standards.We have uploaded the following two datasets. (1) Table 3 contains the EVM values (in %) for the Reference Waveforms 1--7 after performing the uncertainty analyses. The Monte Carlo means are also compared with the ideal values from the calculations in the IEEE P1765 standard.(2) Figure 3 shows the complete EVM distribution upon performing uncertainty analysis for Reference Waveform 3 as an example. Each of the entries in Table 3 is associated with an EVM distribution similar to that shown in Fig. 3. |
| distribution |
[
{
"title": "Summary of EVM values for Reference Waveforms 1--7",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "Since EVM distributions (see Figure 3 for example) for all 7 waveforms cannot be included in the paper (length limited to 3 pages), we have included the nominal EVM, Monte Carlo means, and 95% confidence intervals for all the waveforms here after performing uncertainty analysis. The Monte Carlo means can also be compared to the expected EVM values in the Table.",
"downloadURL": "https://data.nist.gov/od/ds/mds2-2563/Table3_evm_values.xlsx"
},
{
"title": "Monte Carlo estimates",
"mediaType": "text/plain",
"description": "This file contains the nominal EVM value, Monte Carlo mean and 95% confidence intervals after running 1000 Monte Carlo simulations.",
"downloadURL": "https://data.nist.gov/od/ds/mds2-2563/Figure3_ReferenceWaveform3_MonteCarlo.txt"
},
{
"title": "EVM distribution for Reference Waveform #3",
"mediaType": "text/plain",
"description": "X axis has the EVM values in %Y axis has the number of occurrences for a specific histogram bin after running 1000 Monte Carlo simulations",
"downloadURL": "https://data.nist.gov/od/ds/mds2-2563/Figure3_ReferenceWaveform3_histogram.txt"
}
]
|
| identifier | ark:/88434/mds2-2563 |
| issued | 2022-03-16 |
| keyword |
[
"Wireless communication",
"digitally modulated signals",
"error vector magnitude",
"measurement uncertainty",
"quadrature amplitude modulation",
"uncertainty analysis"
]
|
| language |
[
"en"
]
|
| license | https://www.nist.gov/open/license |
| modified | 2022-02-18 00:00:00 |
| programCode |
[
"006:045"
]
|
| publisher |
{
"name": "National Institute of Standards and Technology",
"@type": "org:Organization"
}
|
| theme |
[
"Advanced Communications:Wireless (RF)"
]
|
| title | Reference Measurements of Error Vector Magnitude |
