Volterra-mapping-based behavioral modeling of nonlinear circuits and systems for high frequencies

Presents and validates a discrete-time/frequency-domain approach to the problem of Volterra-series-based behavioral modeling for high-frequency systems. The proposed technique is based on the acquisition of samples of the input/output data, both of which are sampled at the Nyquist rate corresponding to the input signal. The method is capable of identifying the time-/frequency-domain Volterra kernels/transfer functions of arbitrary causal time-invariant weakly nonlinear circuits and systems operating at high frequencies subject to essentially a general random or multitone excitation. The validity and efficiency of the proposed modeling approach has been demonstrated by several examples in high-frequency applications and good agreement has been obtained between results calculated using the proposed model and results measured or simulated with commercial simulation tools.

[1]  T.J. Brazil,et al.  A Volterra mapping-based S-parameter behavioral model for nonlinear RF and microwave circuits and systems , 1999, 1999 IEEE MTT-S International Microwave Symposium Digest (Cat. No.99CH36282).

[2]  T. Wang,et al.  The estimation of Volterra transfer functions with applications to RF power amplifier behavior evaluation for CDMA digital communication , 2000, 2000 IEEE MTT-S International Microwave Symposium Digest (Cat. No.00CH37017).

[3]  Qi-Jun Zhang,et al.  Neural Networks for RF and Microwave Design , 2000 .

[4]  Sang-Won Nam,et al.  Application of higher order spectral analysis to cubically nonlinear system identification , 1994, IEEE Trans. Signal Process..

[5]  Myung-Jin Bae,et al.  Extended Principal Domain for Discrete Frequency-Domain Quadratic Volterra Models , 1996 .

[6]  L. Chua,et al.  Frequency-domain analysis of nonlinear systems: formulation of transfer functions , 1979 .

[7]  Thomas J. Brazil,et al.  A Mixed-Domain Modeling Method for Microwave Nonlinear Systems and Semiconductor Devices in High-Frequency Applications , 1998, 1998 28th European Microwave Conference.

[8]  H. I. Krausz,et al.  Identification of nonlinear systems using random impulse train inputs , 1975, Biological Cybernetics.

[9]  Edward J. Powers,et al.  A digital method of modeling quadratically nonlinear systems with a general random input , 1988, IEEE Trans. Acoust. Speech Signal Process..

[10]  Torben Larsen,et al.  RF Receiver Requirements for 3G W-CDMA Mobile Equipment , 2000 .

[11]  Jan Verspecht,et al.  System Level Simulation Benefits from Frequency Domain Behavioral Models of Mixers and Amplifiers , 1999, 1999 29th European Microwave Conference.

[12]  W. Anzill,et al.  Radio architecture of a wideband DS-CDMA testbed for future cellular systems , 1997, 1997 IEEE MTT-S International Microwave Symposium Digest.

[13]  T. J. Brazil,et al.  Using Volterra mapping based behavioural models to evaluate ACI and cross modulation in CDMA communication systems , 2000, 2000 High Frequency Postgraduate Student Colloquium (Cat. No.00TH8539).

[14]  A. J. Redfern,et al.  Performance analysis of Volterra kernel estimators with Gaussian inputs , 1997, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics.

[15]  Ching-Hsiang Tseng,et al.  A mixed-domain method for identification of quadratically nonlinear systems , 1997, IEEE Trans. Signal Process..