DocumentCode :
1686497
Title :
Analysis of a noise canceling LNA using a Si2 OpenAccess based tool — CADIT
Author :
Alarcao, Joao P. ; Oliveira, Luis B. ; Oliveira, Joao P. ; Santos-Tavares, Rui
Author_Institution :
Dept. of Electr. Eng. (DEE), Univ. Nova de Lisboa (UNL), Caparica, Portugal
fYear :
2015
Firstpage :
464
Lastpage :
469
Abstract :
Noise canceling techniques have been successfully applied to the design of modern multi-band RF-CMOS inductor-less receivers. However, low voltage supply requirements are imposing new design challenges which are pushing the operation of the MOS transistor into moderate or weak inversion, making the setup of closed sizing expressions a difficult task. This paper presents a Si2 OpenAccess based circuit analysis tool that can combines a symbolic equation extractor with the transistor parameters obtained from precise models, reinforcing the performance estimation while reducing the design time. The tool is applied for a wide-band Low Noise Amplifier (LNA). The results are validated by comparing them with values obtained from SpectreRF eletrical simulations using a 130 nm CMOS technology.
Keywords :
CMOS integrated circuits; UHF amplifiers; UHF integrated circuits; electronic design automation; integrated circuit modelling; low noise amplifiers; public domain software; radio receivers; CADIT; CMOS technology; MOS transistor; OpenAccess based tool; circuit analysis tool; multiband RF-CMOS inductorless receiver; noise canceling LNA; size 130 nm; symbolic equation extractor; transistor parameter; wide band low noise amplifier; Integrated circuit modeling; Mathematical model; Noise; Noise measurement; Semiconductor device modeling; Solid modeling; Transistors; CAD; EDA Tool; Modified Nodal Analysis; RF-CMOS; Si2 OpenAccess; Weak Inversion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mixed Design of Integrated Circuits & Systems (MIXDES), 2015 22nd International Conference
Conference_Location :
Torun
Print_ISBN :
978-8-3635-7806-0
Type :
conf
DOI :
10.1109/MIXDES.2015.7208564
Filename :
7208564
Link To Document :
بازگشت