DocumentCode :
190156
Title :
MASH2-0 electromechanical sigma-delta modulator for capacitive MEMS sensors using dual quantization method
Author :
Almutairi, Bader ; Alshehri, Ali ; Kraft, Michael
Author_Institution :
Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
fYear :
2014
fDate :
2-5 Nov. 2014
Firstpage :
1780
Lastpage :
1783
Abstract :
This paper presents a new control structure for an electromechanical sigma-delta modulator (EM-ΣΔM) based on the dual quantization technique. The modulator adopts a 2-0 multi-stage noise-shaping structure (MASH2-0), which was studied by system-level modeling and hardware implementation using an FPGA. The study shows that the MAH2-0, like the MASH2-2, is inherently stable, has a high overload-input level and high dynamic range compared to single-loop EM-ΣΔM. However, the MASH2-0, with its simpler implementation, achieved a higher dynamic range and better signal-to-noise ratio than a comparable MASH2-2 and fourth-order single-loop EM-ΣΔM. A capacitive MEMS accelerometer was designed and employed in this system. Within a bandwidth of 1 KHz, the sensor achieved a noise-floor level of -130 dB, a full scale of ±20g acceleration, and a bias instability of 20 μg for a period of three hours. The investigation confirms the concept of the MASH2-0 structure and shows its potential as a closed-loop interface for high-performance capacitive MEMS inertial sensors.
Keywords :
accelerometers; capacitive sensors; closed loop systems; field programmable gate arrays; inertial systems; microsensors; sigma-delta modulation; 2-0 multistage noise-shaping structure; FPGA; MASH2-0 electromechanical sigma-delta modulator; capacitive MEMS accelerometer; closed-loop interface; dual quantization method; high-performance capacitive MEMS inertial sensors; signal-to-noise ratio; system-level modeling; Accelerometers; Digital filters; Micromechanical devices; Modulation; Noise; Quantization (signal); Sensors; MASH; MEMS accelerometer; Sigma-delta modulator; multi stage noise shaping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SENSORS, 2014 IEEE
Conference_Location :
Valencia
Type :
conf
DOI :
10.1109/ICSENS.2014.6985370
Filename :
6985370
Link To Document :
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