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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sundarasaradula, Y. Thanachayanont, A. |
| Copyright Year | 2013 |
| Description | Author affiliation: Fac. of Eng., King Mongkut's Inst. of Technol. Ladkrabang, Bangkok, Thailand (Sundarasaradula, Y.; Thanachayanont, A.) |
| Abstract | This paper describes the design and realization of a low-noise, low-voltage, low-power CMOS logarithmic amplifier for bio-signal and neural recording applications. The proposed logarithmic amplifier is based on the progressive-compression parallel-summation architecture with DC offset cancellation feedback loop. A new fully differential limiting amplifier with bulk-driven current mirror active load is proposed to achieve larger voltage gain and low voltage operation. The proposed logarithmic amplifier was designed and simulated with process parameters from a standard 0.18-μm CMOS technology. The circuit operates with a single 0.7-V power supply voltage and dissipates 2.86 μW. The simulated input dynamic range is about 60 dB, which covers the input amplitudes ranging from 10 μV to 10 mV. The simulated -3-dB bandwidth of the amplifier is from 0.32 Hz to 22 kHz. The simulated total input-referred noise, integrated from 0.1 Hz to 10 kHz, is 4.41 μV. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 547771 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479928255 |
| ISSN | 21593450 |
| e-ISBN | 9781479928279 |
| DOI | 10.1109/TENCON.2013.6719073 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise Limiting Feedback loop Power supplies Mirrors Gain MOSFET sub-threshold operation component Low power neural amplifier Logarithmic amplifier Limiting amplifier |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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