Design and Implementation of an On-Chip Low-Power and High-Flexibility System for Data Acquisition and Processing of an Inertial Measurement Unit
For signal processing of a Micro-Electro-Mechanical System (MEMS) Inertial Measurement Unit (IMU), a digital-analog hybrid system-on-chip (SoC) with small area and low power consumption was designed and implemented in this paper. To increase the flexibility of the processing circuit, the designed So...
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doaj-f28b318e6fd545e7a3fa088a34df70312020-11-25T01:45:17ZengMDPI AGSensors1424-82202020-01-0120246210.3390/s20020462s20020462Design and Implementation of an On-Chip Low-Power and High-Flexibility System for Data Acquisition and Processing of an Inertial Measurement UnitZhenyi Gao0Bin Zhou1Yang Li2Lei Yang3Xiang Li4Qi Wei5Hongyang Chu6Rong Zhang7Engineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, ChinaEngineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, ChinaEngineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, ChinaCollege of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, ChinaEngineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, ChinaEngineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, ChinaEngineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, ChinaEngineering Research Center for Navigation Technology, Department of Precision Instrument, Tsinghua University, Beijing 100084, ChinaFor signal processing of a Micro-Electro-Mechanical System (MEMS) Inertial Measurement Unit (IMU), a digital-analog hybrid system-on-chip (SoC) with small area and low power consumption was designed and implemented in this paper. To increase the flexibility of the processing circuit, the designed SoC integrates a low-power processor and supports three startup or debugging modes for different application scenarios. An application-specific computing module and communication interface are designed in the circuit to meet the requirements of IMU signal processing. The configurable clock allows users to dynamically balance computing speed and power consumption in their applications. The chip was taped out under SMIC 180 nm CMOS technology and tested for performance. The results show that the chip’s maximum running frequency is 105 MHz. The total area is 33.94 <inline-formula> <math display="inline"> <semantics> <mrow> <msup> <mrow> <mrow> <mi>mm</mi> </mrow> </mrow> <mn>2</mn> </msup> </mrow> </semantics> </math> </inline-formula>. The dynamic and static power consumption are 0.65 mW/MHz and 0.30 mW/MHz, respectively. When the system clock is 25 MHz, the dynamic and static power consumption of the chip is 76 mW and 66 mW, and the dynamic and static power consumption of the FPGA level are 634 mW and 520 mW. The results verify the superiority of the application specific integrated circuit (ASIC) solution in terms of integration and low power consumption.https://www.mdpi.com/1424-8220/20/2/462imusignal processingsoclow powerminiaturization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhenyi Gao Bin Zhou Yang Li Lei Yang Xiang Li Qi Wei Hongyang Chu Rong Zhang |
spellingShingle |
Zhenyi Gao Bin Zhou Yang Li Lei Yang Xiang Li Qi Wei Hongyang Chu Rong Zhang Design and Implementation of an On-Chip Low-Power and High-Flexibility System for Data Acquisition and Processing of an Inertial Measurement Unit Sensors imu signal processing soc low power miniaturization |
author_facet |
Zhenyi Gao Bin Zhou Yang Li Lei Yang Xiang Li Qi Wei Hongyang Chu Rong Zhang |
author_sort |
Zhenyi Gao |
title |
Design and Implementation of an On-Chip Low-Power and High-Flexibility System for Data Acquisition and Processing of an Inertial Measurement Unit |
title_short |
Design and Implementation of an On-Chip Low-Power and High-Flexibility System for Data Acquisition and Processing of an Inertial Measurement Unit |
title_full |
Design and Implementation of an On-Chip Low-Power and High-Flexibility System for Data Acquisition and Processing of an Inertial Measurement Unit |
title_fullStr |
Design and Implementation of an On-Chip Low-Power and High-Flexibility System for Data Acquisition and Processing of an Inertial Measurement Unit |
title_full_unstemmed |
Design and Implementation of an On-Chip Low-Power and High-Flexibility System for Data Acquisition and Processing of an Inertial Measurement Unit |
title_sort |
design and implementation of an on-chip low-power and high-flexibility system for data acquisition and processing of an inertial measurement unit |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2020-01-01 |
description |
For signal processing of a Micro-Electro-Mechanical System (MEMS) Inertial Measurement Unit (IMU), a digital-analog hybrid system-on-chip (SoC) with small area and low power consumption was designed and implemented in this paper. To increase the flexibility of the processing circuit, the designed SoC integrates a low-power processor and supports three startup or debugging modes for different application scenarios. An application-specific computing module and communication interface are designed in the circuit to meet the requirements of IMU signal processing. The configurable clock allows users to dynamically balance computing speed and power consumption in their applications. The chip was taped out under SMIC 180 nm CMOS technology and tested for performance. The results show that the chip’s maximum running frequency is 105 MHz. The total area is 33.94 <inline-formula> <math display="inline"> <semantics> <mrow> <msup> <mrow> <mrow> <mi>mm</mi> </mrow> </mrow> <mn>2</mn> </msup> </mrow> </semantics> </math> </inline-formula>. The dynamic and static power consumption are 0.65 mW/MHz and 0.30 mW/MHz, respectively. When the system clock is 25 MHz, the dynamic and static power consumption of the chip is 76 mW and 66 mW, and the dynamic and static power consumption of the FPGA level are 634 mW and 520 mW. The results verify the superiority of the application specific integrated circuit (ASIC) solution in terms of integration and low power consumption. |
topic |
imu signal processing soc low power miniaturization |
url |
https://www.mdpi.com/1424-8220/20/2/462 |
work_keys_str_mv |
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