In this paper, a novel behavioral model for the receiver front-end is presented. This model allows the accurate prediction of the nonlinear effects of the receiver front-end including the in-band distortion, intermodulation and harmonic generation. The behavioral model is a block-oriented model that consists of three blocks, the frequency conversion block, nonlinear block， and memory linear block. The nonlinear block and memory linear block are represented by the polynomials in time domain respectively, which can characterize the high-order nonlinearities and the strong memory effects by the appropriate adjustment of the polynomial order. An original model parameter identification procedure that can efficiently estimate the model parameters by using the specific input-output data is also proposed. Moreover, the presented behavioral model and identification procedure are assessed by the experiment with the excitation of single-tone signals, multitone signals and WCDMA signals, respectively. The comparison between the measurement and model simulation suggests that the behavioral model has good accuracy of the prediction of the nonlinear effects of the receiver front-end.
1. Ku, H. and J. S. Kenney, "Behavioral modeling of RF power amplifiers considering IMD and spectral regrowth asymmetries," IEEE MTT-S International Microwave Symposium Digest, Vol. 2, 799-802, Philadelphia, PA, USA, 2003.
2. Vuolevi, J., T. Rahkonen, and J. Manninen, "Measurement technique for characterizing memory effects in RF power amplifiers," RAWCON 2000, 2000 IEEE Radio and Wireless Conference (Cat. No. 00EX404), 195-198, Denver, CO, USA, 2000.
3. Dooley, J., B. O'Brien, K. Finnerty, and R. Farrell, "Estimation of sparse memory taps for RF power amplifier behavioral models," IEEE Microwave and Wireless Components Letters, Vol. 25, No. 1, 64-66, Jan. 2015. doi:10.1109/LMWC.2014.2361678
4. Carvalho, N. B., J. C. Pedro, W. Jang, and B. S. Michael, "Nonlinear simulation of mixers for assessing system-level performance," International Journal of RF and Microwave Computer-Aided Engineering, Vol. 15, No. 4, 350-361, Jul. 2005. doi:10.1002/mmce.20091
5. Mordachev, V. and E. Sinkevich, "Spurious and intermodulation response analysis of passive double-balanced mixers using the double-frequency scanning technique," 2013 International Symposium on Electromagnetic Compatibility, 737-742, 2013.
6. Peng, S., P. J. McCleer, and G. I. Haddad, "Nonlinear models for the intermodulation analysis of FET mixers," IEEE Transactions on Microwave Theory and Techniques, Vol. 43, No. 5, 1037-1045, May 1995. doi:10.1109/22.382063
7. Wood, J., D. E. Root, and N. B. Tufillaro, "A behavioral modeling approach to nonlinear model-order reduction for RF/microwave ICs and systems," IEEE Transactions on Microwave Theory and Techniques, Vol. 52, No. 2, 2274-2284, Sep. 2004. doi:10.1109/TMTT.2004.834554
8. Pedro, J. C. and S. A. Maas, "A comparative overview of microwave and wireless power-amplifier behavioral modeling approaches," IEEE Transactions on Microwave Theory and Techniques, Vol. 53, No. 4, 1150-1163, Apr. 2005. doi:10.1109/TMTT.2005.845723
9. Zhu, A., M. Wren, and T. J. Brazil, "An efficient Volterra-based behavioral model for wideband RF power amplifiers," IEEE MTT-S International Microwave Symposium Digest, Vol. 2, 787-790, Philadelphia, PA, USA, 2003.
10. Liu, Y., J. Zhou, W. Chen, and B. Zhou, "A robust augmented complexity-reduced generalized memory polynomial for wideband RF power amplifiers," IEEE Transactions on Industrial Electronics, Vol. 61, No. 5, 2389-2401, May 2014. doi:10.1109/TIE.2013.2270217
11. Pedross-Engel, A., H. Schumacher, and K. Witrisal, "Modeling and identification of ultra-wideband analog multipliers," IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 65, No. 1, 283-292, Jan. 2018. doi:10.1109/TCSI.2017.2717979
12. Root, D. E., J. Wood, N. Tufillaro, D. Schreurs, and A. Pekker, "Systematic behavioral modeling of nonlinear microwave/RF circuits in the time domain using techniques from nonlinear dynamical systems," Proceedings of the 2002 IEEE International Workshop on Behavioral Modeling and Simulation, 2002, BMAS 2002, 71-74, 2002. doi:10.1109/BMAS.2002.1291060
13. Mirri, D., G. Luculano, F. Filicori, G. Pasini, G. Vannini, and G. P. Gabriella, "A modified Volterra series approach for nonlinear dynamic systems modeling," IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, Vol. 49, No. 8, 1118-1128, Aug. 2002. doi:10.1109/TCSI.2002.801239
14. Traverso, P. A., D. Mirri, G. Pasini, and F. Filicori, "A nonlinear dynamic S/H-ADC device model based on a modified Volterra series: Identification procedure and commercial CAD tool implementation," IEEE Transactions on Instrumentation and Measurement, Vol. 52, No. 4, 1129-1135, Aug. 2003. doi:10.1109/TIM.2003.815986
15. Wood, J. and D. E. Root, "The behavioral modeling of microwave/RF ICs using non-linear time series analysis," IEEE MTT-S International Microwave Symposium Digest, Vol. 2, 791-794, Philadelphia, PA, USA, 2003.
16. Grimm, M., M. Allén, J. Marttila, M. Valkama, and R. Thomä, "Joint mitigation of nonlinear RF and baseband distortions in wideband direct-conversion receivers," IEEE Transactions on Microwave Theory and Techniques, Vol. 62, No. 1, 166-182, Jan. 2014. doi:10.1109/TMTT.2013.2292603