Title :
Layout-level synthesis of RF inductors and filters in LCP substrates for Wi-Fi applications
Author :
Mukherjee, Souvik ; Mutnury, Bhyrav ; Dalmia, Sidharth ; Swaminathan, Madhavan
Author_Institution :
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
6/1/2005 12:00:00 AM
Abstract :
A fast and accurate layout-level synthesis and optimization technique for embedded passive RF components and circuits such as inductors and bandpass filters have been presented. The filters are composed of embedded inductors and capacitors in a multilayer liquid crystalline polymer substrate. The proposed approach is based on a combination of segmented lumped-circuit modeling, nonlinear mapping using polynomial functions, artificial neural network-based methods, and circuit-level optimization. Synthesis and optimization results of inductors for spiral/loop designs based on microstrip and stripline configuration are within 5% of data obtained from electromagnetic (EM) simulations. For RF circuits, the methodology has been verified through synthesis of 2.4- and 5.5-GHz bandpass filters with and without transmission zeros. Scalability has been shown over a range of 2-3 and 4-6 GHz, respectively, with bandwidth variation of 0.5%-3% of center frequency. The synthesized models are within 3%-5% of EM simulation data.
Keywords :
UHF filters; band-pass filters; circuit optimisation; inductors; integrated circuit layout; microstrip filters; microwave filters; neural nets; wireless LAN; 2 to 3 GHz; 4 to 6 GHz; LCP substrate; RF circuits; RF filters; RF inductors; Wi-Fi application; artificial neural network-based method; bandpass filter; circuit-level optimization; electromagnetic simulation; embedded passive RF component; filter synthesis; layout-level synthesis; lumped-circuit modeling; microstrip configuration; multilayer liquid crystalline polymer substrate; nonlinear mapping; polynomial functions; stripline configuration; Band pass filters; Capacitors; Circuit simulation; Circuit synthesis; Crystallization; Inductors; Liquid crystal polymers; Multi-layer neural network; Network synthesis; Radio frequency; Artificial neural networks (ANNs); filter synthesis; inductor optimization; liquid crystalline polymer (LCP); synthesis;
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
DOI :
10.1109/TMTT.2005.848782