The Numerical Simulation and Experiment Research for Measurement of Error Vector Magnitude (EVM)

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Wireless communications is one of the main industrial areas that require metrological support. However, Error Vector Magnitude (EVM), which is one of most important parameters used to define the performance of wireless communications equipment qualitatively, is facing some difficulties in making traceable measurement. In order to research the effect of all factors on the measurement of EVM, accurately characterize the EVM of a number of different signal generators thereby breaking the link between generator and receiver EVM, and aim at establishing a low uncertainty, traceable EVM measurement capability, we need to built many kinds of analysis platform, and let their results compare with each other for verifying their correctness and accuracy. In this paper, we presented theory method, numerical simulation, and experiment platform to calculate or measure EVM and comparing the results with each other. Using these analysis platforms, we mainly analyzed the effect of IQ impairments of modulator on the EVM.

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199-204

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September 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. Markus, B. Ertan, and M. Kurt, Error vector magnitude (EVM) measurements for GSM/EDGE applications revised under production conditions, IEEE Int. Symp. on ISCAS 5 (2005) 5003-5006.

DOI: 10.1109/iscas.2005.1465757

Google Scholar

[2] S. Rajarajan, B. Soumendu, and C. Abhijit, Fast Accurate Tests for Multi-Carrier Transceiver Specifications: EVM and Noise, 26th IEEE VLSI Test Symp. (2008) 175-180.

DOI: 10.1109/vts.2008.24

Google Scholar

[3] 3GPP TS 34. 122 V8. 3. 0 Release 8, Terminal conformance specification Radio transmission and reception (TDD), (2009) 728-729.

Google Scholar

[4] D. A. Humphreys, and J. Miall, Traceable RF Peak Power Measurements for Mobile Communications, IEEE T. Instrum. Meas, 54 (2005) 680-683.

DOI: 10.1109/tim.2004.843355

Google Scholar

[5] R. Zhang, F. Zhou, and L. Q. Guo, Calibration standards for digital modulation error based on CW, AM or PM signal, 75th ARFTG (2010) 1-4.

DOI: 10.1109/arftg.2010.5496333

Google Scholar

[6] R. Zhang, F. Zhou, and L. Q. Guo, Metrology of vector modulation error: problems and solution, 2010 Conf. on Prec. Electromagn. Meas. (2010) 718-719.

Google Scholar

[7] Y. Z. Wu, H. N. Zhao, and H. D. YU, Calibration and Traceability for Digital Modulation Quality Parameters, Acta Metrologica Sin. 26 (2005) 271-274.

Google Scholar

[8] D. A. Humphreys, and R. T. Dickerson: Traceable measurement of Error Vector Magnitude (EVM) in WCDMA signals, Int. Wavef. Divers. & Des. Conf. (2007) 270-274.

DOI: 10.1109/wddc.2007.4339424

Google Scholar

[9] D. A. Humphreys, Vector measurement of modulated RF signals by an in-phase and quadrature referencing technique, IEE Proc. Sci., Meas. and Tech. 153 (2006) 210-216.

DOI: 10.1049/ip-smt:20060002

Google Scholar

[10] X. D. Wang, and L. P. Kong, Simulation study on calibration of digital modulation parameters, J. of Electron. Meas. and Instrum. 23 (2009) 7-13.

Google Scholar