IEEE 1765-2022

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IEEE Recommended Practice for Estimating the Uncertainty in Error Vector Magnitude of Measured Digitally Modulated Signals for Wireless Communications

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IEEE	2022

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Description

New IEEE Standard – Active. Recommended practices for the evaluation of receiver measurements of error vector magnitude of a digitally modulated wireless communication signal and the evaluation of the associated uncertainty are provided in this recommended practice. NOTE: Source codes are available at https://opensource.ieee.org/1765/1765/

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PDF Pages	PDF Title
1	IEEE Std 1765™-2022 Front Cover
2	Title page
4	Important Notices and Disclaimers Concerning IEEE Standards Documents
8	Participants
9	Introduction Acknowledgments
10	Contents
12	1. Overview 1.1 Scope 1.2 Purpose
13	1.3 Word usage 2. Normative references
14	3. Definitions, acronyms, and abbreviations 3.1 Definitions
16	3.2 Acronyms and abbreviations
19	3.3 Table of symbols
20	4. Overview of the IEEE 1765 approach for evaluating EVM and associated uncertainty from receiver measurements. 4.1 Background 4.2 Determining EVM from measurement
22	4.3 Overview of the standardized IEEE 1765 approach
24	5. The Baseline EVM Algorithms
25	5.1 The Baseline EVM Algorithm for single-carrier modulation formats
30	5.2 The Baseline EVM Algorithm for multi-carrier OFDM transmission formats
32	6. Generating and predistorting the reference waveform
33	6.1 Reference waveform file generation
34	6.2 The predistortion process
36	7. Measurement comparison of EVM for validation of receiver performance
40	7.1 Application of the Baseline EVM Algorithm
41	7.2 EVM comparison with specialized receiver
42	7.3 Baseline EVM comparison of two receivers
43	7.4 Baseline Residual EVM
44	7.5 Normalized mean-square error
45	7.6 Criteria for assessing comparison
46	8. Estimating uncertainty in EVM 8.1 Approach taken in IEEE 1765
48	8.2 Method 1: Measurement uncertainty in EVM when correlated instrumentation impairments are present
49	8.3 Method 2: Uncertainty in EVM for uncorrelated noise-like instrumentation impairments 9. Additions to the Baseline EVM Algorithm
50	9.1 Baseline EVM algorithm with time-domain alignment 9.2 OFDM Baseline EVM Algorithm with equalization
51	Annex A (normative) The reference waveforms A.1 Background A.2 Single-carrier square 64-QAM IEEE 1765 Reference Waveforms
65	A.3 OFDM square 64-QAM IEEE 1765 Reference Waveforms
76	Annex B (normative) Time alignment and normalization based on frequency domain data processing B.1 Background
77	B.2 Time delay algorithm
80	Annex C (informative) The OFDM Baseline EVM Algorithm C.1 Orthogonal signals for multichannel data transmission
82	C.2 OFDM used in modern standards
83	C.3 Application of the Baseline EVM Algorithm to OFDM
87	Annex D (informative) Measurement contributions to EVM and its uncertainty D.1 Considerations for measurement comparison
88	D.2 Considerations for time-domain waveform acquisition
91	D.3 Considerations for frequency conversion
93	D.4 ENOB as it applies to A/D converters and digitizers
95	Annex E (informative) The role of correlation in uncertainty analysis for EVM E.1 The effect of correlation
99	E.2 Correlation as a function of frequency E.3 Summary
100	Annex F (informative) Calibrated reference measurement of an IEEE 1765 Reference Waveform with an equivalent-time sampling oscilloscope F.1 Method of measurement
101	F.2 Constraints and assumptions
102	Annex G (informative) Bibliography
105	Back Cover

Additional information

Standard Title	IEEE Recommended Practice for Estimating the Uncertainty in Error Vector Magnitude of Measured Digitally Modulated Signals for Wireless Communications
Published Code	IEEE
Publication Date	2022

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