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Session: THP1G9:30 AM Thursday, June 19, 2008 Room: Hall A3 |
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Session: THP1G | Interactive Forum: |
Chair: | Daniela Staiculescu, Georgia Institute of Technology |
Co-Chair: | Ronglin Li, Georgia Institute of Technology |
| | THP1G-01 | A Piecewise Transistor-Level Simulation Technique for the Steady State and Phase Noise Analysis of Integer N PLLs | 1240 | B. Wang, E. Ngoya, University of Limoges, Limoges, France |
| Brute force transistor-level simulation of PLL is precise but suffers long simulation time and convergence problems, both with time domain and harmonic-balance techniques. On the other hand common behavioral phase domain simulation is rapid but doesn't consider the non-idealities at transistor-level. In this paper we propose a piecewise transistor-level simulation method, which stands between the two above approaches, and combines the advantages of both. In the proposed method, a hierarchical simulation process is applied to compute an accurate steady state, and a small-signal model is created for phase noise calculation. The phase noise is obtained rapidly and accurately. | | |
THP1G-02 | Evaluation of Nonlinear Distortion in ADCs Using Multisines | 1359 | P. M. Cruz1, N. B. Carvalho1, K. A. Remley2, 1IT-Universidade de Aveiro, Aveiro, Portugal, 2NIST , Boulder, United States |
| This paper characterizes nonlinear distortion in an analog-to-digital converter (ADC) when it is excited by representative communication signals having non-constant time-domain envelopes. The effect of subjecting the ADC to signals that present a range of values of peak-to-average power ratio is studied in order to understand the impact of various nonlinear ADC mechanisms in the transmission chain. | | |
THP1G-03 | An Orthogonal Lookup-table Decomposition for Accurate IMD Prediction in Power Amplifier with Memory | 1387 | C. Quindroit, E. Ngoya, A. Bennadji, J. Nebus, XLIM UMR CNRS 6615 University of Limoges, Limoges, France |
| In this paper, an new methodology for modeling the nonlinearity in power amplifier (PA) with memory is presented. It is based on the construction of a basis of orthogonal lookup-tables using SVD technique. It provides an effective and systematic way of representing and digitizing dynamic kernels in PA models that account for memory. It is shown that this procedure guarantees a high accuracy in PA intermodulation (IMD) prediction. | | |
THP1G-04 | Comparison of Evaluation Criteria for Power Amplifier Behavioral Modeling | 1459 | P. N. Landin1, M. Isaksson1, P. Händel1, 1University of Gävle, Gävle, Sweden, 2Royal Institute of Technology, Stockholm, Sweden |
| In this paper different evaluation criteria for power amplifier behavioral modeling are studied and evaluated using measuremed data. The figure-of-merits are calculated from complex-envelope data of a sampled power amplifier intended for 3G. Both time- and frequency domain methods are included in the study. It is found that a model evaluation criterion should have ability to capture both the linear and nonlinear distortion as well as the memory effects in the power amplifier. The normalized mean square error (NMSE) and the weighted error-to-signal power ratio (WESPR) are found to be the strongest candidates for capturing the in-band and the out-of-band errors, respectively. Both are also independent of power amplifier technology and stimuli input. | | |
THP1G-05 | Low-Pass Equivalent Feedback Topology for Power Amplifier Modeling | 1482 | T. R. Cunha1, J. C. Pedro1, E. G. Lima2, 1Universidade de Aveiro, Aveiro, Portugal, 2Politecnico di Torino, Torino, Italy |
| In [1], Pedro et al. have presented an RF feedback model that was conceived to match the physical behavior of a general Power Amplifier (PA) circuit. Unfortunately, a procedure for the extraction of this model’s parameters has not yet been presented, because of the difficulties introduced by its recursive topology and the limited frequency band that is accessible in both the PA input and output ports. Nevertheless, this model has been used by various research groups as a design basis of new PA behavioral models, which generally approximate the feedback structure by a non-recursive Volterra series topology. This paper presents a new model whose parameters are easy to extract, and that keeps the original topological information of [1] by maintaining a feedback structure. | | |
THP1G-06 | Analysis and reduction of the oscillator phase noise from the variance of the phase deviations, determined with harmonic balance | 1583 | S. Sancho, F. Ramirez, A. Suarez, University of Cantabria, Santander, Spain |
| The stochastic time domain characterization of the noisy oscillator allows an accurate prediction of the variance of the phase deviation. In this work, it is demonstrated that the magnitudes that determine this variance can be obtained from a harmonic-balance analysis with the carrier modulation approach. Once the variance of the phase deviation is known, a general technique is derived to obtain the complete phase-noise spectrum in the presence of white and colored noise sources. Finally a design procedure is presented to minimize the phase noise around the carrier or away from the carrier. The techniques have been applied to a MESFET oscillator at 5 GHz. | | |
THP1G-07 | A Novel Measurement Based Method Enabling Rapid Extraction of a RF Waveform Look-up Table Based Behavioral Model | 1738 | S. P. Woodington1, T. Williams1, H. Qi1, D. Williams2, L. Pattison2, A. Patterson2, J. Lees1, J. Benedikt1, P. Tasker1, 1Cardiff University, Cardiff, United Kingdom, 2Mimix Europe, Belfast, United Kingdom |
| A solution allowing for the rapid, cost effective and accurate extraction of nonlinear Direct Waveform Look-Up table (DWLU) based behavioral models is presented in this paper. The behavioral model extracted is a reformulation of the PHD model, now defined about a non 50-Ohm reference impedance, enabling it to accurately predict load-pull contours. The technique exploits a simple active and passive load-pull architecture enabling a numerical integration solution for model coefficient extraction that necessitates only varying the phase of the input stimulus during measurement. This solution dramatically speeds up the behavioral model coefficient extraction process, enabling ‘real time’ access to critical device behavior. It ensures that only a minimum, optimized set of load-pull measurements are performed. The technique is demonstrated on a Mimix Broadband Gas 8x2x30um 0.5W HBT | | |
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