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Peak-to-average power reduction of OFDM signals by convex optimization: experimental validation and performance optimization
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
University of Gävle, Radio center for measurement technology.
2011 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 60, no 2, 473-479 p.Article in journal (Refereed) Published
Abstract [en]

We evaluated the application of the 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-the-art radio frequency test system with high accuracy was used for this purpose. Improvements due to the optimization in the 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 6 dB 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 9 dB 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, 473-479 p.
Keyword [en]
Communication system performance, convex optimization, dirty radio, power amplifiers, power-added efficiency (PAE), spectrum mask
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-24530DOI: 10.1109/TIM.2010.2050360ISI: 000286008700014Scopus ID: 2-s2.0-78651273904OAI: oai:DiVA.org:kth-24530DiVA: diva2:351283
Projects
KKS
Funder
ICT - The Next Generation
Note

QC 20150727

Available from: 2010-09-30 Created: 2010-09-13 Last updated: 2017-12-12Bibliographically 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 ofcharacterization of radio frequency power amplifiers are studied.Methods to increase the speed, accuracy, bandwidth, as well as toreduce the sampling requirements and testing cost are presented. Amethod intended for signal shaping with respect to peak-to-averageratio reduction and its effects-improvements on the radio frequencyfront-end performance is investigated.

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

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

A general method for designing multitone for the purpose ofout-of-band characterization of nonlinear radio frequency modulesusing harmonic sampling is presented. It has an application with thevalidation of power amplifiers behavioral models in theirout-of-band frequency spectral support when extracted fromundersampled data.

A method for unfolding the frequency spectrum of undersampledwideband signals is presented. It is of high relevance tostate-of-the-art radio frequency measurement systems which capturerepetitive waveform based on a sampling rate that violates theNyquist constraint. The method is presented in a compact form, iteliminates ambiguities caused by folded frequency spectra standingoutside the Nyquist band, and is relevant for calibration matters.

A convex optimization reduction-based method of peaks-to-averageratio of orthogonal frequency division multiplexing signals ispresented and experimentally validated for a wireless local areanetwork system. Improvements on the radio frequency power amplifierlevel are investigated with respect to power added efficiency,output power, in-band and out-of-band errors. The influence of thepower distribution in the excitation signal on power amplifierperformance was evaluated.

Place, publisher, year, edition, pages
SE-100 44 Stockholm, Sweden: Signal Processing, School of Eletrical Engineering, Royal Institute of Technology, 2010. ix, 9 p.
Series
Trita-EE, ISSN 1653-5146 ; 2010:030
Identifiers
urn:nbn:se:kth:diva-24536 (URN)
Presentation
2010-08-20, 99:132, Kungsbäcksvägen 47 Gävle, SE-801 76, University of Gävle, 10:15 (English)
Opponent
Supervisors
Projects
KKS
Note
QC 20101001Available from: 2010-10-01 Created: 2010-09-14 Last updated: 2010-10-01Bibliographically approved

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Händel, Peter

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