Research on MEMS acceleration sensor detection circuit based on adaptive filter

Author

Zhang, Shu ; Wei Dong ; Zhou, Jingran ; Zhang, Xindong ; Liu, Caixia ; Wang, Yanping ; Ruan, Shengping ; Chen, Weiyou

Author_Institution

State Key Lab. on Integrated Optoelectron., Jilin Univ., Changchun, China

fYear

2009

fDate

9-12 Aug. 2009

Firstpage

1433

Lastpage

1437

Abstract

Adaptive signal processing plays an important role in small signal detection. This article discussed about the basic principle of the adaptive filter. According to practical output of detection circuit in MEMS acceleration sensor, reference and input signal can be easily acquired. LMS and RLS algorithm were simulated by Matlab and the digital filter was achieved in FPGA. SNR of the output signal of filter based on RLS algorithm was 23 dB when that of the input signal was 3 dB. The result showed that the noise in detection circuit can be well eliminated by RLS adaptive filter.

Keywords

accelerometers; adaptive filters; adaptive signal processing; detector circuits; digital filters; field programmable gate arrays; least mean squares methods; microsensors; FPGA; LMS algorithm; MEMS acceleration sensor; Matlab; RLS algorithm; adaptive filter; adaptive signal processing; detection circuit; digital filter; Acceleration; Adaptive filters; Adaptive signal processing; Circuit simulation; Digital filters; Least squares approximation; Micromechanical devices; Resonance light scattering; Signal detection; Signal processing algorithms; FPGA; MEMS acceleration sensor; RLS algorithm; adaptive filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2009. ICMA 2009. International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-2692-8

Electronic_ISBN

978-1-4244-2693-5

Type

conf

DOI

10.1109/ICMA.2009.5246670

Filename

5246670