Multi-tone, Multi-port, and Dynamic Memory Enhancements to PHD Nonlinear Behavioral Models from Large-signal Measurements and Simulations

The PHD nonlinear behavioral model is extended to handle multiple large tones at an arbitrary number of ports, and enhanced for dynamic long-term memory. New capabilities are exemplified by an amplifier model, derived from large-signal network analyzer (LSNA) data, valid for arbitrary impedance environments, and a model of a 50GHz integrated mixer, including leakage terms and IF mismatch dependence. Dynamic memory is demonstrated by an HBT amplifier model identified from up-converted band-limited noise excitations. The models are validated with independent LSNA component data or, for simulation-based models, with the corresponding circuit models.

[1]  P. Asbeck,et al.  Large-signal HBT model with improved collector transit time formulation for GaAs and InP technologies , 2003, IEEE MTT-S International Microwave Symposium Digest, 2003.

[2]  D.E. Root,et al.  Polyharmonic distortion modeling , 2006, IEEE Microwave Magazine.

[3]  J. Verspecht,et al.  Broad-band poly-harmonic distortion (PHD) behavioral models from fast automated simulations and large-signal vectorial network measurements , 2005, IEEE Transactions on Microwave Theory and Techniques.

[4]  J.B. Scott,et al.  Mixer-based, vector-corrected, vector signal/network analyzer offering 300kHz-20GHz bandwidth and traceable phase response , 2005, IEEE MTT-S International Microwave Symposium Digest, 2005..

[5]  E. Ngoya,et al.  Behavioral modeling of RF and microwave circuit blocks for hierarchical simulation of modern transceivers , 2005, IEEE MTT-S International Microwave Symposium Digest, 2005..