Micropower Delta-Sigma Modulator based on a Self-Biased Super Inverter for Neural Recording Systems

被引:0
|
作者
Wang, Le [1 ]
Theogarajan, Luke [1 ]
机构
[1] Univ Calif Santa Barbara, Dept Elect & Comp Engn, Santa Barbara, CA 93106 USA
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中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a micropower, supply scalable 2(nd) order delta-sigma modulator based on a novel self-biased fully differential super inverter for neural recording systems. By employing an enhanced cascode stage and complementary source degeneration, the super inverter achieves 52 dB of differential-mode gain and 42 dB of common-mode rejection ratio, while remaining self-biased at the optimum operating point. The prototype modulator is implemented in a 0.13 mu m CMOS process and occupies 0.03 mm(2) chip area. The fabricated IC achieves 66 dB SNR and 62 dB SNDR over the neural signal bandwidth of 8 KHz, while consuming 20 mu W from 1.5 V supply. At 1.2 V supply, it achieves 67 dB SNR and 56 dB SNDR, with only 4.8 mu W power consumption. The super inverter-based design methodology can be extended to other low power, high speed, and variation tolerant switched-capacitor circuits.
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页数:4
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