MP/LUT baseband digital predistorter for wideband linearisation

Li, Feng; Feuvrie, Bruno; Wang, Yide; Chen, Weitao

doi:10.1049/el.2011.2254

Cited by 10 publications

(18 citation statements)

References 5 publications

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“…(8) and (9), respectively. In [13,21,22], only the amplitude calculation in (8) is considered. The approaches based on LUT are used instead of the root-finding process.…”

Section: E(m) R(m)e Jθ(m)mentioning

confidence: 99%

“…Its hardware implementation is difficult in practical applications. LUT [13][14][15][16] based DPD has the advantage of simplicity, but its linearization performance depends on the LUT size. In order to improve the linearization performance with limited LUT dimension, some interpolated techniques are introduced in LUT-based DPDs.…”

Section: Introductionmentioning

confidence: 99%

“…Polynomial [7,8,17] model-based DPD is also widely studied in the literature. They include the well-known Volterra series (VS) [18], memory polynomial (MP) [7,8,13], generalized memory polynomial (GMP) [19], other simplified VS variants [20] and so on. VS and GMP models are more accurate but also more complex.…”

Section: Introductionmentioning

confidence: 99%

“…This DPD can achieve excellent linearization performance but the root-finding procedure is time-consuming. In [13], a MP/LUT DPD is proposed, where a conventional LUT is used instead of the rootfinding procedure. The calculating time of DPD process decreases greatly but it requires a sufficiently large size of LUT.…”

Section: Introductionmentioning

confidence: 99%

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Analysis on LUT based digital predistortion using direct learning architecture for linearizing power amplifiers

Feng

Wang

Feuvrie

et al. 2016

J Wireless Com Network

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In modern wireless communication system, power amplifier (PA) is an important component which is expected to be operated at the region of high power efficiency, but in this region, PA is inherently nonlinear. Thus, the linearization of high power efficient PA is necessary. In this paper, direct learning architecture (DLA) and indirect learning architecture (ILA) are firstly compared. It shows that DLA is more robust than ILA. Then a baseband digital predistortion (DPD) method with DLA is proposed for power amplifier linearization based on combined look-up tables (LUT) and memory polynomial (MP) model. The main innovation is that a LUT-based approach is proposed to calculate directly the complex-valued predistorted signal. Moreover, some interpolation techniques are introduced to reduce the LUT size. The proposed DPDs are validated experimentally. Additionally, the influences of some important parameters in experimental setup, such as the number of bits of analog-to-digital converter (ADC) and the instrument bandwidth, are analyzed.

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“…(8) and (9), respectively. In [13,21,22], only the amplitude calculation in (8) is considered. The approaches based on LUT are used instead of the root-finding process.…”

Section: E(m) R(m)e Jθ(m)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Analysis on LUT based digital predistortion using direct learning architecture for linearizing power amplifiers

Feng

Wang

Feuvrie

et al. 2016

J Wireless Com Network

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“…First, it uses real multiplications and real additions only and avoids complex Volterra, LUT or polynomials for nonlinearity compensation. Secondly, in contrast to existing injection-based DPD [3][4][5], the technique uses an adaptive architecture [7], and therefore is adaptive to the variation of the PA nonlinear transfer function in real environmental conditions. The proposed DPD was verified experimentally using a more than 10 dB peak-toaverage power ratio (PAPR) 5 MHz downlink long-term evolution (LTE) signal.…”

mentioning

confidence: 99%

Adaptive nonlinearity compensation technique for 4G wireless transmitters

Čabarkapa

Nešković

et al. 2012

Electron. Lett.

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A new adaptive digital predistortion based on an iterative injections approach is experimentally verified using a 4G signal. An error vector magnitude and spectrum regrowth improvements are achieved, while at the same time not requiring large digital signal processing memory resources and computational complexity. Therefore, the method can be a strong candidate to become a part of modern predistorters for nonlinearity compensation in 4G wireless transmitters.Introduction: The power amplifier (PA) linearisation method based on injection was initially introduced in [1] where second harmonic and frequency deference injections are applied. In [2], the authors proposed using third-order (IM3) component injection. Digital predistortion (DPD) methods based on injections are used in [3][4][5]. In [3], the IM3 and IM5 component injections were utilised. A combined look-up tables (LUTs)-injection approach was used in [4]. The authors in [5] used the iterative injection method for PA linearisation purposes in order to overcome the distortion compensation limit [3]. In general, linearisation methods based on the injection approach have smaller complexity compared with other proposed techniques for nonlinearity compensation based on Volterra, LUTs or polynomials [6 -8]. However, they usually suffer from a compensation limit introduced by new components that appear after injections [3]. Moreover, the existing injection-based techniques were tested in open loop and, due to that fact, are not adaptive and have limited usage in real transmitters. In addition, there was no experimental proof of how these techniques behave with 4G signals which have very variable amplitude.In this Letter, we demonstrate the PA linearisation using the proposed DPD based on adaptive iterative injections of the in-band distortion components. This method has two important advantages. First, it uses real multiplications and real additions only and avoids complex Volterra, LUT or polynomials for nonlinearity compensation. Secondly, in contrast to existing injection-based DPD [3][4][5], the technique uses an adaptive architecture [7], and therefore is adaptive to the variation of the PA nonlinear transfer function in real environmental conditions. The proposed DPD was verified experimentally using a more than 10 dB peak-toaverage power ratio (PAPR) 5 MHz downlink long-term evolution (LTE) signal.

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Improved baseband digital predistortion for linearising PAs with nonlinear memory effects using linearly interpolated LUT

et al. 2013

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International audienceAn improved baseband Digital PreDistortion (DPD) solution to reduce the nonlinearity of Power Amplifiers (PAs) with memory effects is proposed. It is based on the Memory Polynomial (MP) model and linearly interpolated Look-Up Table (LUT). This predistorter reduces significantly the computational time needed in MP based DPD by using a LUT. A linear interpolation technique is introduced to enhance the indexing of LUT, such that good performance with small table size and low computational complexity is achieved. The proposed solution is validated on a test bench using a PA ZFL-2500 driven by a 16QAM modulated signal

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MP/LUT baseband digital predistorter for wideband linearisation

Cited by 10 publications

References 5 publications

Analysis on LUT based digital predistortion using direct learning architecture for linearizing power amplifiers

Analysis on LUT based digital predistortion using direct learning architecture for linearizing power amplifiers

Adaptive nonlinearity compensation technique for 4G wireless transmitters

Improved baseband digital predistortion for linearising PAs with nonlinear memory effects using linearly interpolated LUT

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