Multi-slice behavioral model of RF systems and devices

Walker, A.; Steer, M.B.; Gard, K.G.; Gharaibeh, Khaled M.

doi:10.1109/rawcon.2004.1389074

Cited by 19 publications

(12 citation statements)

References 7 publications

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“…따라서 이에 대한 연구들이 진 행되어 왔으며 특별히 다층 슬라이스 모델(multi-slice behavioral model)을 기반으로 IMD 비대칭 특성을 가지고 있는 전력 증폭기의 비선형 특성에 대해 많은 연구가 이루 어져왔다 [3]- [5]. 이러한 다층 슬라이스 모델을 기반으로 IMD 비대칭 특성을 설명하기 위해 이층 슬라이스 모델 (two-slice behavioral model)이 제시된 바 있다 [3]. 또한 이 층 슬라이스 모델 내부의 기수(odd-order) 다항식과 우수 (even-order) 다항식의 계수들을 실제 전력 증폭기로부터 측정하여 추출하고 이를 근사화 하는 방법 또한 제시되었다 [4].…”

Section: 서 론 무선 통신 시스템의 송신기에서 사용되고 있는 전력 증폭 기의 비선형 특성을 분석하는 것은 전력 증폭기unclassified

Analysis of Power Amplifier Nonlinear Response Based on Practical Circuit Parameters

Park¹,

Kim²

2012

The Transactions of The Korean Institute of Electrical Engineer

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-In this paper, a novel analysis on the nonlinear response of a power amplifier (PA) with the intermodulation distortion (IMD) asymmetry is proposed based on the mutislice behavioral model. The coefficients of the odd-order and even-order polynomial of that model are represented with the PA practical circuit parameters such as intercept points, gain and amplitudes of excitation inputs. We also develop the analytic expressions to distinguish baseband frequency effect from second harmonic effect on the IMD asymmetry. We also validate the derived analytic expressions through measurements.

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Section: 서 론 무선 통신 시스템의 송신기에서 사용되고 있는 전력 증폭 기의 비선형 특성을 분석하는 것은 전력 증폭기unclassified

Analysis of Power Amplifier Nonlinear Response Based on Practical Circuit Parameters

Park¹,

Kim²

2012

The Transactions of The Korean Institute of Electrical Engineer

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“…This can be represented by the model shown in Fig. 2 [11] where (4) (5) and (6) Assuming that this PA model is excited by a frequency-domain input signal , the output IMD at is given by (7) (1)…”

Section: Long-term Mfom Revisitedmentioning

confidence: 99%

“…3 that produces a constant (with tone-spacing) two-tone IMD response that minimizes the distortion power in the considered operation bandwidth 1 is minimum (10) From a mathematical viewpoint, this expression states that our memoryless linearizer is a mean square-error constant estimator, which can thus be determined by (11) Therefore, the optimum memoryless linearizer of a certain PA (in a two-tone IMD sense) is nothing more than the system whose constant response is the vectorial mean of the response of that PA to a swept envelope frequency two-tone test within the bandwidth of interest. This constant response can be easily estimated in a microwave laboratory by measuring in amplitude and phase over the desired bandwidth.…”

Section: Long-term Mfom Revisitedmentioning

confidence: 99%

A Metric for the Quantification of Memory Effects in Power Amplifiers

Martins

Cabral

Carvalho

et al. 2006

IEEE Trans. Microwave Theory Techn.

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Abstract-This paper presents a quantitative metric for memory effects in power amplifiers (PAs) and applies it to various active device technologies and wireless system contexts. The proposed metric is mathematically founded in the dynamic two-tone distortion response, has a clear physical meaning in the important field of PA linearization and can be easily evaluated from either harmonic balance simulations or measurement data gathered in a microwave laboratory. In addition, a memoryless PA linearizer, optimum for reducing the integrated intermodulation distortion (IMD) power in the operation bandwidth for a two-tone excitation, is derived, providing a rigorous figure-of-merit of PA linearizability under static IMD compensation. The application of this figure-of-merit is then illustrated for three different PA prototypes based on Si LDMOS, InGaP/GaAs heterojunction bipolar transistors, and GaN high electron-mobility transistors, designed for 900-MHz (global system for mobile communications), 2.1-GHz (wideband code division multiple access), and 3.5-GHz (WiMax) wireless systems, respectively.Index Terms-Long-term memory, memory effects (MEs), nonlinear systems, power amplifiers (PAs).

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“…Behavioral models are commonly used to capture the characteristics of band-limited nonlinear radio frequency (RF) and microwave subsystems [1][2][3][4]. They can be used to rapidly investigate the response of the subsystem to various digitally modulated signals, to provide insight into nonlinear operation, and as an aid in developing linearization strategies.…”

Section: Introductionmentioning

confidence: 99%

“…The second slice of the behavioral model captures even-order effects and is extracted using the two-tone equivalent of AM-AM and AM-PM measurements. We first introduced the model in [1], where it was used in modeling discrete tone signals. In this article, we show that the model is compatible with advanced microwave circuit simulation techniques.…”

Section: Introductionmentioning

confidence: 99%

Capturing asymmetrical spectral regrowth in RF systems using a multislice behavioral model and enhanced envelop transient analysis

Jang

Walker

Gard

et al. 2006

Int J RF and Microwave Comp Aid Eng

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Nonlinear distortion in RF and microwave systems results in spectral regrowth of digitally modulated signals. The distortion above and below the main channel can be at different levels and this is attributed to baseband effects. This article presents a new multislice behavioral-model architecture that captures this asymmetry and can be implemented in a variety of circuit simulators, including SPICE, harmonic balance (HB), envelope transient (ET), and system simulators. The work is experimentally validated using an HBT power amplifier at 2.5 GHz driven by a WCDMA signal. The model is used with envelope transient circuit simulation which is enhanced to accommodate an arbitrary baseband transfer function.

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Multi-slice behavioral model of RF systems and devices

Cited by 19 publications

References 7 publications

Analysis of Power Amplifier Nonlinear Response Based on Practical Circuit Parameters

Analysis of Power Amplifier Nonlinear Response Based on Practical Circuit Parameters

A Metric for the Quantification of Memory Effects in Power Amplifiers

Capturing asymmetrical spectral regrowth in RF systems using a multislice behavioral model and enhanced envelop transient analysis

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