2004
DOI: 10.1109/tcomm.2003.822188
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A Robust Digital Baseband Predistorter Constructed Using Memory Polynomials

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Cited by 1,052 publications
(686 citation statements)
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“…The vector signal generator and the spectrum analyzer act as a modulator and a demodulator, respectively. We select a 2-carrier wideband code division multiple access (WCDMA) signal with a bandwidth of 10 MHz as the input, and employ the indirect learning structure [8] with the LS algorithm for the identification. The models include both odd-and even-order terms [9].…”
Section: Resultsmentioning
confidence: 99%
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“…The vector signal generator and the spectrum analyzer act as a modulator and a demodulator, respectively. We select a 2-carrier wideband code division multiple access (WCDMA) signal with a bandwidth of 10 MHz as the input, and employ the indirect learning structure [8] with the LS algorithm for the identification. The models include both odd-and even-order terms [9].…”
Section: Resultsmentioning
confidence: 99%
“…Various linearization techniques for PAs have been proposed in the literature. These include feedforward [1], feedback [2], linear amplification with nonlinear components [3,4], analog predistortion [5,6], digital predistortion (DPD) [7,8,9,10,11,12], and so on. In fact, DPD is frequently used because it offers great flexibility and high efficiency.…”
Section: Introductionmentioning
confidence: 99%
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“…Traditional single-band digital predistortion (DPD) techniques [1][2][3][4][5][6][7][8][9] fail to compensate nonlinear distortion of dual-band PAs. On the one hand, the sampling rate requirements for hardware facilities, the analog-to-digital converter (ADC) and the digital-to-analog converter (DAC), is impractical when the output signal of dual-band PA is sampled as a full band signal.…”
Section: Introductionmentioning
confidence: 99%
“…Among them, the digital PD is a popular technique. The digital PD techniques utilize a predistorter in the baseband domain, whose characteristic is inverse of the PA to compensate for the nonlinearity [2,3,4].…”
Section: Introductionmentioning
confidence: 99%