“…The B-spline B i,d,s can be expressed as a concatenation of d + 1 successive polynomials pieces of degree d. It is equal to 0 outside the segment [11] that keeps a very short support when d increases. [11] (bottom) with uniform segmentation.…”
“…Therefore it can be interesting to use piecewise models to decrease the number of necessary coefficients. Naraharisetti et al [11], [55] have reformulated the model in a more general form that is expressed for z i with i = 1 or 2 as:…”
Section: Advanced Segmented Dpd For Multidimensional Dpdmentioning
This paper presents a general survey of digital predistortion (DPD) techniques with segmentation. A comparison of global DPD with two segmented approaches namely Vector-Switched DPD and Decomposed Vector Rotation DPD is presented with the support of experimentation on a strongly non-linear 3 ways Doherty PA. It shows the interest of both segmented approaches in terms of linearization performance, complexity and ease of implementation compared to the global DPD. The paper starts with some mathematical generalities on interpolation and splines. It focuses on segmented models derived from Volterra series even if the presented principles can also be applied to neural networks.
“…The B-spline B i,d,s can be expressed as a concatenation of d + 1 successive polynomials pieces of degree d. It is equal to 0 outside the segment [11] that keeps a very short support when d increases. [11] (bottom) with uniform segmentation.…”
“…Therefore it can be interesting to use piecewise models to decrease the number of necessary coefficients. Naraharisetti et al [11], [55] have reformulated the model in a more general form that is expressed for z i with i = 1 or 2 as:…”
Section: Advanced Segmented Dpd For Multidimensional Dpdmentioning
This paper presents a general survey of digital predistortion (DPD) techniques with segmentation. A comparison of global DPD with two segmented approaches namely Vector-Switched DPD and Decomposed Vector Rotation DPD is presented with the support of experimentation on a strongly non-linear 3 ways Doherty PA. It shows the interest of both segmented approaches in terms of linearization performance, complexity and ease of implementation compared to the global DPD. The paper starts with some mathematical generalities on interpolation and splines. It focuses on segmented models derived from Volterra series even if the presented principles can also be applied to neural networks.
“…h n ð Þ5 P out n ð Þ I DC;meas n ð ÞV DD (5) with V DD the power supply, P out n ð Þ5P out;max jy n ð Þj 2 the PA RF output and y n ð Þ the normalized complex envelope of the PA RF output. The instantaneous drain efficiency calculated with (5) using the measured bias current is shown in Figure 4.…”
Section: E X P E R I M E N T a L R E S U L T Smentioning
confidence: 99%
“…where a j and b j are the coefficients of the jth spline expansion, and the B j x ð Þ function the C-spline basis as defined in Ref. [5]. This approach differs from the one taken in Ref.…”
Section: Pa Biasing Current Modelingmentioning
confidence: 99%
“…Compact dual-band reconfigurable antennas have also been proposed in refs. [4,5], which targets mobile phone application with omni-directional patterns.…”
The measurement and modeling of the dynamic power dissipation of a dual-input Chireix power amplifier driven by LTE modulated signals is reported to optimize its dynamic efficiency. Two memory cubic spline FIR and NARMA behavioral models are verified to accurately predict the measured instantaneous PA bias-current and power dissipation as a function of the PA RF output power.
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