Title :
A 2.4-GHz SiGe BiCMOS MMIC active tunable band-pass filter design using artificial neural network
Author :
Dousti, Massoud ; Yazdizadeh, M. ; Eshghabadi, Farshad
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ. (IAU), Tehran, Iran
Abstract :
An MMIC active band-pass filter is designed for the implementation of a tunable RF filter in a 0.35 ¿m SiGe BiCMOS technology. This filter structure is proposed for operation in the S-band applications and BiCMOS MMICs applications for wireless personal communication. In simulations, the reasonably good performance was obtained. This filter is centered at 2.4 GHz and has 30 dB rejections @0.7-GHz offset from pass-band edges. These sharpened edges were caused by a tuned amplifier. The simulations show a frequency tuning range from 1.9 GHz to 2.5 GHz and a noise figure of 7.5-10 dB depending on center frequency. In addition, the design was optimized with artificial neural network (ANN). A feed-forward, four-layer perceptron structure (MLP4) was used.
Keywords :
BiCMOS integrated circuits; Ge-Si alloys; MIMIC; band-pass filters; multilayer perceptrons; BiCMOS; MMIC active tunable band-pass filter; S-band applications; SiGe; artificial neural network; feed-forward four-layer perceptron; frequency 2.4 GHz; frequency tuning; tuned amplifier; wireless personal communication; Artificial neural networks; Band pass filters; BiCMOS integrated circuits; Germanium silicon alloys; MMICs; Noise figure; Radio frequency; Silicon germanium; Tuning; Wireless communication; BiCMOS; MMIC; band-pass filter; neural netw ork; tuned active filter;
Conference_Titel :
Application of Information and Communication Technologies, 2009. AICT 2009. International Conference on
Conference_Location :
Baku
Print_ISBN :
978-1-4244-4739-8
Electronic_ISBN :
978-1-4244-4740-4
DOI :
10.1109/ICAICT.2009.5372526
