Digital predistortion using piecewise memory polynomial for 802.11 WiFi applications

Tomer Gidoni; Eran Socher; Emanuel Cohen

doi:10.1109/ICSEE.2016.7806082

Digital predistortion using piecewise memory polynomial for 802.11 WiFi applications

Tomer Gidoni, Eran Socher, Emanuel Cohen

Tel Aviv University, Technion - Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We demonstrate piecewise memory polynomial based predistorter for WiFi (802.11) applications. EVM of -38dB and ACLR of -35.4dBc were achieved with 2nd order nonlinearity piecewise memory polynomial with a single knot. Experimental results, comparing mask, EVM and nonlinear floor, show on-par performance to 5th order non-piecewise memory polynomial predistorter. The suggested real-time digital predistortion utilizes only 12 multipliers versos 30 of the non-piecewise predistorter, thus lowering the complexity of hardware implementation.

Original language	English
Title of host publication	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509021529
DOIs	https://doi.org/10.1109/ICSEE.2016.7806082
State	Published - 4 Jan 2017
Event	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 - Eilat, Israel Duration: 16 Nov 2016 → 18 Nov 2016

Publication series

Name	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016

Conference

Conference	2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016
Country/Territory	Israel
City	Eilat
Period	16/11/16 → 18/11/16

Keywords

digital predistortion
memory polynomial
piecewise polynomial

All Science Journal Classification (ASJC) codes

Computer Science Applications
Hardware and Architecture
Artificial Intelligence
Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICSEE.2016.7806082

Cite this

Gidoni, T., Socher, E., & Cohen, E. (2017). Digital predistortion using piecewise memory polynomial for 802.11 WiFi applications. In 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016 Article 7806082 (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSEE.2016.7806082

Gidoni, Tomer ; Socher, Eran ; Cohen, Emanuel. / Digital predistortion using piecewise memory polynomial for 802.11 WiFi applications. 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

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abstract = "We demonstrate piecewise memory polynomial based predistorter for WiFi (802.11) applications. EVM of -38dB and ACLR of -35.4dBc were achieved with 2nd order nonlinearity piecewise memory polynomial with a single knot. Experimental results, comparing mask, EVM and nonlinear floor, show on-par performance to 5th order non-piecewise memory polynomial predistorter. The suggested real-time digital predistortion utilizes only 12 multipliers versos 30 of the non-piecewise predistorter, thus lowering the complexity of hardware implementation.",

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year = "2017",

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doi = "10.1109/ICSEE.2016.7806082",

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Gidoni, T, Socher, E & Cohen, E 2017, Digital predistortion using piecewise memory polynomial for 802.11 WiFi applications. in 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016., 7806082, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016, Eilat, Israel, 16/11/16. https://doi.org/10.1109/ICSEE.2016.7806082

Digital predistortion using piecewise memory polynomial for 802.11 WiFi applications. / Gidoni, Tomer; Socher, Eran ; Cohen, Emanuel.
2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7806082 (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - We demonstrate piecewise memory polynomial based predistorter for WiFi (802.11) applications. EVM of -38dB and ACLR of -35.4dBc were achieved with 2nd order nonlinearity piecewise memory polynomial with a single knot. Experimental results, comparing mask, EVM and nonlinear floor, show on-par performance to 5th order non-piecewise memory polynomial predistorter. The suggested real-time digital predistortion utilizes only 12 multipliers versos 30 of the non-piecewise predistorter, thus lowering the complexity of hardware implementation.

AB - We demonstrate piecewise memory polynomial based predistorter for WiFi (802.11) applications. EVM of -38dB and ACLR of -35.4dBc were achieved with 2nd order nonlinearity piecewise memory polynomial with a single knot. Experimental results, comparing mask, EVM and nonlinear floor, show on-par performance to 5th order non-piecewise memory polynomial predistorter. The suggested real-time digital predistortion utilizes only 12 multipliers versos 30 of the non-piecewise predistorter, thus lowering the complexity of hardware implementation.

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M3 - منشور من مؤتمر

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Gidoni T, Socher E , Cohen E. Digital predistortion using piecewise memory polynomial for 802.11 WiFi applications. In 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7806082. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016). doi: 10.1109/ICSEE.2016.7806082

Digital predistortion using piecewise memory polynomial for 802.11 WiFi applications

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Keywords

All Science Journal Classification (ASJC) codes

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