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Peak-to-average power reduction of OFDM signals by convex optimization: experimental validation and performance optimization
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. (Center for RF Measurement Technologies)
Kungliga Tekniska högskolan. (Signal Processing Lab)ORCID iD: 0000-0002-2718-0262
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. (Center for RF Measurement Technologies)ORCID iD: 0000-0001-5429-7223
2011 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 60, no 2, p. 473-479Article in journal (Refereed) Published
Abstract [en]

We evaluated the application of convex optimization to peak-to-average power reduction on an orthogonal frequency division multiplexing (OFDM) 802.11a signal. A radio frequency power amplifier was excited with an OFDM-signal, and the peak-to-average reduced counterpart and its performance figure of merits were measured and compared. A state-of-art radio frequency test system with high accuracy was used for this purpose. Improvements due to optimization in output power and power added efficiency and the influence of the power distribution in the excitation signal on power amplifier performance were investigated. Improvements of 6dB in output power and 6.5% in power added efficiency were achieved on average near the operating region. The effect of preserving power-free guard subcarriers was introduced in the optimization algorithm and investigated regarding adjacent channel interference. An improvement of 9dB from that aspect was observed using half of the power-free subcarriers, which reveals the importance of a guard interval.

Place, publisher, year, edition, pages
2011. Vol. 60, no 2, p. 473-479
Keywords [en]
Communication system performance, power amplifiers, power added efficiency, spectrum mask, convex optimization, dirty radio.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hig:diva-6379DOI: 10.1109/TIM.2010.2050360ISI: 000286008700014Scopus ID: 2-s2.0-78651273904OAI: oai:DiVA.org:hig-6379DiVA, id: diva2:293605
Projects
KKS SDMAvailable from: 2010-04-13 Created: 2010-02-12 Last updated: 2023-02-17Bibliographically approved
In thesis
1. Enhancing Radio Frequency System Performance by Digital Signal Processing
Open this publication in new window or tab >>Enhancing Radio Frequency System Performance by Digital Signal Processing
2010 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In this thesis measurement systems for the purpose of characterization of radio frequency power amplifiers are studied. Methods to increase the speed, accuracy, bandwidth, as well as to reduce the sampling requirements and testing cost are presented. A method intended for signal shaping with respect to peak to-average ratio reduction and its effects-improvements on the radio frequency front-end performance is investigated.

A time domain measurement system intended for fast and accurate measurements and characterization of radio frequency power amplifiers is discussed. An automated, fast and accurate technique for power and frequency sweep measurements is presented. Multidimensional representation of measured figure of merits is evaluated for its importance on the production-testing phase of power amplifiers.

A technique to extend the digital bandwidth of a measurement system is discussed. It is based on the Zhu-Frank generalized sampling theorem which decreases the requirements on the sampling rate of the measurement system. Its application for power amplifiers behavioral modeling is discussed and evaluated experimentally.

A general method for designing multitone for the purpose of out-of-band characterization of nonlinear radio frequency modules using harmonic sampling is presented. It has an application with the validation of power amplifiers behavioral models in their out-of-band frequency spectral support when extracted from undersampled data.

A method for unfolding the frequency spectrum of undersampled wideband signals is presented. It is of high relevance to state-of-the-art radio frequency measurement systems which capture repetitive waveform based on a sampling rate that violates the Nyquist constraint. The method is presented in a compact form, it eliminates ambiguities caused by folded frequency spectra standing outside the Nyquist band, and is relevant for calibration matters.

A convex optimization reduction-based method of peaks-to-average ratio of orthogonal frequency division multiplexing signals is presented and experimentally validated for a wireless local area network system. Improvements on the radio frequency power amplifier level are investigated with respect to power added efficiency, output power, in-band and out-of-band errors. The influence of the power distribution in the excitation signal on power amplifier performance was evaluated.

Place, publisher, year, edition, pages
Stockholm: Skolan för elektro- och systemteknik, Kungliga Tekniska högskolan, 2010. p. 90
Series
TRITA-EE 2010:030, ISSN 1653-5146
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-7312 (URN)
Presentation
2010-08-20, Hörsal 99131, Kungsbäcksvägen 47, Gävle, 10:00 (English)
Opponent
Supervisors
Available from: 2010-08-18 Created: 2010-08-09 Last updated: 2018-03-13Bibliographically approved

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Nader, CharlesHändel, PeterBjörsell, Niclas

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