Joint study of PAPR reduction and digital predistortion

Gouba, O. Abel; Louët, Yves

doi:10.1109/ursigass.2011.6050516

Cited by 5 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This effect introduces additional distortion that cannot be well-compensated with predistortion; a classic case involves a hard limiter as amplifier, where the cut-off signals cannot be recovered by SPD. This has motivated the use of PAPR reduction in conjunction with SPD [15], [16], [17]. However, these works only consider the effects of the amplifier and do not consider a multi-user channel.…”

Section: Introductionmentioning

confidence: 99%

Low complexity transmit processing for multibeam satellite systems with non-linear channels

Mengali

Kayhan

Shankar

et al. 2016

2016 8th Advanced Satellite Multimedia Systems Conference and the 14th Signal Processing for Space Communications Workshop (ASM

View full text Add to dashboard Cite

Abstract-Aggressive frequency reuse is being considered for multibeam satellites to achieve higher system capacity using available spectrum. Towards achieving the ideal gains of such a reuse, precoding techniques are being considered to minimize the resulting co-channel interference. Most of the precoding techniques, however, do not explicitly consider the distortions introduced by the high power amplifier (HPA), an integral part of the satellite payload, which is inherently non linear. A power efficient amplification introduces non-linear co-channel distortions at the receiver, including the effects of high peak to average power ratios (PAPR), typical of spectrally efficient modulations. This work provides a novel processing at the Gateway comprising a cascade of linear and non-linear operations (Crest Factor Reduction, and Signal Predistortion) to counter the non-linearities and co-channel interference in multibeam satellite systems. The proposed architecture has a lower number of parameters than existing works, leading to efficient coefficient estimation as well as reduced implementation complexity. These parameters are optimized using the simulated annealing algorithm to enhance the Signal to Interference plus Noise ratio at the receiver and the performance is compared with the state-of-the-art.

show abstract

Section: Introductionmentioning

confidence: 99%

Low complexity transmit processing for multibeam satellite systems with non-linear channels

Mengali

Kayhan

Shankar

et al. 2016

2016 8th Advanced Satellite Multimedia Systems Conference and the 14th Signal Processing for Space Communications Workshop (ASM

View full text Add to dashboard Cite

show abstract

“…Further, the use of PAPR re duction in conjunction with signal predistortion has also been widely considered in literature. Several works propose a scheme in which PAPR reduction precedes predistortion [11,12], while [13] proposes a scheme where predistortion is followed by PAPR reduction. A different approach was recently proposed in [14], that presents a method to include PAPR control as a constraint in the estimation of the predistortion parameters.…”

Section: Introductionmentioning

confidence: 99%

Generalized direct predistortion with adaptive crest factor reduction control

Piazza

Shankar

Ottersten

2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

View full text Add to dashboard Cite

Efficient power amplification is inherently a non linear operation that introduces unwanted interference in the amplified signal. Strong inter-symbol interference is generated when the amplifier non linear ity is combined with channel memory effects. Further, signals with very high peak to average power ratio, typical of multiple carrier sys tems, are even more sensitive to the non linearities resulting in severe distortion effects. Signal pre-clipping (crest factor reduction) and predistortion are conventional countermeasure techniques to reduce the generated non linear distortion and improve power and spectral efficiency. In this work, novel optimization methods for predistor tion and pre-clipping are analytically derived for a general non-linear communication channel with memory. A combined architecture in which crest factor reduction is followed by signal predistortion is proposed and the parameters are estimated resorting to iterative al gorithms based on least squares method. Performance evaluation of the estimation techniques shows the effectiveness of the derived algorithms and significant gain compared to previously known meth ods.

show abstract

“…Several papers in the literature consider the association of PAPR reduction technique and predistortion as a linearisation method, which is aimed at improving the performance of the PA both in terms of linearity and efficiency, respectively [6,[8][9][10][11][12][13][14][15][16]. We classified them into two approaches.…”

Section: Introductionmentioning

confidence: 99%

“…The first approach consists in a simple combination of a PAPR reduction technique with a predistortion technique [10,11,15], where the parameters of both the PAPR reduction technique and the predistortion are tuned independently. On the other hand, the second one considers a joint combination that takes into consideration the mutual effects of both PAPR reduction and predistortion in order to improve the overall performance [9,[12][13][14]16]. The purpose of the latter approach is to enable an exchange of information between the PAPR reduction technique and the predistorter for the purpose of synergetic enhancement.…”

Section: Introductionmentioning

confidence: 99%

“…Few papers have investigated the PA's design problem because of this approach. In [14] for example, we proposed an algorithm to adjust the complexity of the predistortion depending on the dynamic range of the PAPR reduced signal. An other example is given in [13] where a way to jointly optimise PAPR reduction, thanks to a TR scheme, and digital predistortion is investigated while considering the IEEE 802.11 standard.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adding signal for peak‐to‐average power reduction and predistortion in an orthogonal frequency division multiplexing context

Gouba

Louët

2013

IET signal process.

View full text Add to dashboard Cite

International audienceIn this study, the authors look into digital predistortion and its combination with the peak-to-average power ratio (PAPR) reduction technique in the case of orthogonal frequency division multiplexing (OFDM)-based systems. First of all, the authors propose a new predistortion methodology which uses the addition of signals. Two different algorithms are investigated for the predistortion signals generation. The first one is based on the traditional predistortion method, where an estimation of the power amplifiers (PAs) characteristics is needed in the first place. The second algorithm to generate the predistortion signal does not need a priori PA estimation. It is based on an iterative compensation of the error between the amplified signal and the OFDM signal. Then, the authors combine this latter algorithm with the tone reservation PAPR reduction method in order to have a global adding signal expression. Two combination scenarios of PAPR reduction and predistortion obtained by means of adding a signal are proposed. The first one combines both of them in series while the second one is parallel. Performances of the proposed predistortion algorithms and the combination scenarios are compared thanks to simulations based on IEEE802.il a/g standards for a memoryless solid state PA

show abstract

Joint study of PAPR reduction and digital predistortion

Cited by 5 publications

References 4 publications

Low complexity transmit processing for multibeam satellite systems with non-linear channels

Low complexity transmit processing for multibeam satellite systems with non-linear channels

Generalized direct predistortion with adaptive crest factor reduction control

Adding signal for peak‐to‐average power reduction and predistortion in an orthogonal frequency division multiplexing context

Contact Info

Product

Resources

About