TY - GEN
T1 - Piece-wise vector fitting method with binary frequency domain partitioning algorithm for automatic modeling
AU - Zhang, Weidong
AU - Xie, Shuguo
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/28
Y1 - 2016/11/28
N2 - Previously, piecewise vector fitting (PWVF) method for building macro-model from a highly resonant frequency response in a broad range of frequencies has been proposed. The method accurately identifies macro-model by dividing its frequency response into sections, but no specific method for the frequency-domain partitioning has been proposed. To make the entire identification process automatic, a binary algorithm of frequency domain partitioning which is used to dividing the whole frequency band into sections is added into the PWVF. An illustrative example involving a micro-strip line filter is presented for validation of the proposed method.
AB - Previously, piecewise vector fitting (PWVF) method for building macro-model from a highly resonant frequency response in a broad range of frequencies has been proposed. The method accurately identifies macro-model by dividing its frequency response into sections, but no specific method for the frequency-domain partitioning has been proposed. To make the entire identification process automatic, a binary algorithm of frequency domain partitioning which is used to dividing the whole frequency band into sections is added into the PWVF. An illustrative example involving a micro-strip line filter is presented for validation of the proposed method.
UR - https://www.scopus.com/pages/publications/85009783174
U2 - 10.1109/ICMMT.2016.7761776
DO - 10.1109/ICMMT.2016.7761776
M3 - 会议稿件
AN - SCOPUS:85009783174
T3 - 9th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2016 - Proceedings
SP - 363
EP - 365
BT - 9th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2016
Y2 - 5 June 2016 through 8 June 2016
ER -