Performance analysis of MEMS-based inertial sensors for positioning applications

被引：0
|
作者：
Abdel-Hamid, A [1 ]
Noureldin, A [1 ]
El-Sheimy, N [1 ]
Lachapellee, G [1 ]
机构：
[1] Univ Calgary, Dept Goemat Engn, Calgary, AB T2N 1N4, Canada
来源：
SYSTEM-ON-CHIP FOR REAL-TIME APPLICATIONS | 2003年
关键词：
MEMS-bases inertial sensors; inertial navigation; noise modelling; and wavelets multi-resolution analysis;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The last two decades have shown an increasing trend in the use of Positioning and navigation technologies in land vehicle applications. Cost and space constraints are currently driving manufacturers of vehicles to investigate the applicability of MEMS-based inertial sensors for the development of low cost and small size navigation and guidance systems. The aim of this paper is to investigate the performance of MEMS-based inertial sensors and to analyse their impact on the short-term positioning accuracy. In addition, this article suggests some real-time digital signal processing methods based on the wavelet techniques to improve the performance of these MEMS-based sensors.
引用
收藏
页码：440 / 450
页数：11
相关论文
共 50 条
  • [21] An Approach for Observing and Modeling Errors in MEMS-Based Inertial Sensors Under Vehicle Dynamic
    Stebler, Yannick
    Guerrier, Stephane
    Skaloud, Jan
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2015, 64 (11) : 2926 - 2936
  • [22] MEMS-based gas flow sensors
    Yu-Hsiang Wang
    Chang-Pen Chen
    Chih-Ming Chang
    Chia-Pin Lin
    Che-Hsin Lin
    Lung-Ming Fu
    Chia-Yen Lee
    Microfluidics and Nanofluidics, 2009, 6 : 333 - 346
  • [23] MEMS-based gas flow sensors
    Wang, Yu-Hsiang
    Chen, Chang-Pen
    Chang, Chih-Ming
    Lin, Chia-Pin
    Lin, Che-Hsin
    Fu, Lung-Ming
    Lee, Chia-Yen
    MICROFLUIDICS AND NANOFLUIDICS, 2009, 6 (03) : 333 - 346
  • [24] Artificial Intelligence Applications for MEMS-Based Sensors and Manufacturing Process Optimization
    Podder, Itilekha
    Fischl, Tamas
    Bub, Udo
    TELECOM, 2023, 4 (01): : 165 - 197
  • [25] MEMS-based hydrogen gas sensors
    DiMeo, Frank, Jr.
    Chen, Ing-Shin
    Chen, Philip
    Neuner, Jeffrey
    Roerhl, Andreas
    Welch, James
    SENSORS AND ACTUATORS B-CHEMICAL, 2006, 117 (01) : 10 - 16
  • [26] Fabrication and performance analysis of MEMS-based Variable Emissivity Radiator for Space Applications
    Lee, Changwook
    Oh, Hyung-Ung
    Kim, Taegyu
    14TH INTERNATIONAL CONFERENCE ON MICRO AND NANOTECHNOLOGY FOR POWER GENERATION AND ENERGY CONVERSION APPLICATIONS (POWERMEMS 2014), 2014, 557
  • [27] Automatic Characterization of High-Performance MEMS-Based IR Sensors
    Benson, Matthew
    Parker, Ryan W.
    Gulseren, Melisa Ekin
    Gomez-Diaz, Juan Sebastian
    IEEE ACCESS, 2024, 12 : 190120 - 190133
  • [28] Effect of Electrode Material on Sensing Performance of MEMS-based Pyroelectric Sensors
    Xiong, Zhen
    Tsai, Chia-Yu
    Lee, Chia-Yen
    SENSORS AND MATERIALS, 2024, 36 (09) : 3663 - 3676
  • [29] Combined MEMS Inertial Sensors for IMU Applications
    Merz, P.
    Reimer, K.
    Weiss, M.
    Schwarzelbach, O.
    Schroeder, C.
    Giambastiani, A.
    Rocchi, A.
    Heller, M.
    MEMS 2010: 23RD IEEE INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS, TECHNICAL DIGEST, 2010, : 488 - 491
  • [30] Inertial Sensors Strapdown Approach for Hybrid Cameras and MEMS Positioning
    Dabove, Paolo
    Aicardi, Irene
    Grasso, Nives
    Lingua, Andrea
    Ghinamo, Giorgio
    Corbi, Cecilia
    PROCEEDINGS OF THE 2016 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2016, : 994 - 1000
12345