2017
DOI: 10.1109/taes.2017.2691218
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Impedance-Dependent Wideband Digital Predistortion of Solid-State Radar Amplifiers

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Cited by 12 publications
(5 citation statements)
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“…The nonlinear behavior of the amplifier introduces distortion in the output pulse. Dunn et al used the digital pre-distortion technique to minimize the distortion of amplified signals that appear to be linearly amplified [20][21][22][23]. With the linear assumption on the amplifier in the WPPAR system, this paper focuses on the frequency response of the antenna systems.…”
Section: Theoretical Formulation Of Biasmentioning
confidence: 99%
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“…The nonlinear behavior of the amplifier introduces distortion in the output pulse. Dunn et al used the digital pre-distortion technique to minimize the distortion of amplified signals that appear to be linearly amplified [20][21][22][23]. With the linear assumption on the amplifier in the WPPAR system, this paper focuses on the frequency response of the antenna systems.…”
Section: Theoretical Formulation Of Biasmentioning
confidence: 99%
“…However, the frequency-dependent power amplifier (PA) and antenna system distort the output waveform in the WPPAR [18,19]. To circumvent the problem from PA, some digital pre-distortion schemes have been explored in [20][21][22][23]. Another challenge is from the transmitting/receiving antenna.…”
Section: Introductionmentioning
confidence: 99%
“…• Load-dependent behavioural models, such as in (CAI et al, 2015), (DHAR et al, 2018), (DUNN et al, 2017), in which the model coefficients are parametrized by the complex-valued load reflection coefficient, Γ. In such models, the model coefficients are previously estimated for a batch of Γ values, then are interpolated during the DPD training phase, based on the reflection coefficient that is actually measured at the PA/ antenna interface.…”
Section: Pa Lmm Modelsmentioning
confidence: 99%
“…Alternatively, (DUNN et al, 2017) proposed a load-dependent model that includes a polynomial expression of Γ in the model, as follows:…”
Section: Pa Lmm Modelsmentioning
confidence: 99%
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