In this article, we present Vector Fitting Algorithm VFA to derive the rational function approximation model of Bandpass and Baseband systems in presence of Noise. The Root Mean Square Error RMSE and Identification error C scriptstyle p is calculated to analyze the modeling accuracy of VFA, for different orders of the system and for different SNR signal to noise ratio criteria. VFA is found to be more noise resilient with regard to system identification for higher order systems compared to lower order systems due to sharper frequency cut-off characteristics and corresponding noise suppression for higher order systems. It was also found that, for the same order and SNR, baseband systems have less modeling errors, when compared to bandpass systems.
cited By 0; Conference of 7th IEEE International Conference on Communication and Signal Processing, ICCSP 2018 ; Conference Date: 3 April 2018 Through 5 April 2018; Conference Code:142123
K. Vrinda, Dr. N.S. Murty, and Dr. Dhanesh G. Kurup, “Rational Approximation of RF Passive Devices for Noisy Data”, in 2018 IEEE International Conference on Communication and Signal Processing, ICCSP 2018, Chennai, India, 2018, pp. 170-174.