A Low-Power Variable-Gain Amplifier With Improved Linearity: Analysis and Design

Cited 32 time in webofscience Cited 35 time in scopus
  • Hit : 147
  • Download : 0
A low-power variable-gain amplifier (VGA) based on transconductance (g(m))-ratioed amplification is analyzed and designed with improved linearity. The VGA has the merits of continuous gain tuning, low power consumption and small chip area. However, the linearity performance of the g(m)-ratioed amplifier is usually poor. We analyze distortion in g(m)-ratioed amplifiers and propose to improve the output linearity by applying load degeneration technique. It is found that theoretically the output linearity can be improved by 8.5 dB at the same power consumption. We also analyze gain, bandwidth and noise performance of the -ratioed amplifiers. Two VGAs based on g(m)-ratioed amplification are designed and fabricated in a 0.18-mu m CMOS process-one with load degeneration only and the other with both input and load degeneration. The VGA with load degeneration only achieves gain of -20 to 41 dB, bandwidth of 121 to 211 MHz, and input and output P1dB up to -17 dBm and 0.65 dBm, respectively. The VGA with both input and load degeneration achieves gain of -37 to 28 dB, bandwidth of 76 to 809 MHz, and input and output P1dB up to -2.63 dBm and 2.29 dBm, respectively. The two VGAs consume a similar amount of power, which is about 3 to 5 mW from a 1.8-V supply. For the same bias condition, the proposed load degeneration improves the output linearity by more than 15 dB.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Issue Date
2012-10
Language
English
Article Type
Article
Citation

IEEE Transactions on Circuits and Systems I: Regular Papers, v.59, no.10, pp.2176 - 2185

ISSN
1549-8328
DOI
10.1109/tcsi.2012.2185331
URI
http://hdl.handle.net/10203/279678
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 32 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0