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Micromachines
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New Advances, Methods, and Applications for Micro Inertial Sensors, 2nd...
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New Advances, Methods, and Applications for Micro Inertial Sensors, 2nd Edition

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A：Physics".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 2295

Special Issue Editors

Dr. Changhui Jiang

E-Mail Website
Guest Editor
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Interests: hyperspectral LiDAR; GNSS; INS; Kalman filter; mobile mapping
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Shuai Chen

E-Mail Website
Guest Editor
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: inertial navigation system; GNSS/INS integration; GNSS
Special Issues, Collections and Topics in MDPI journals
Dr. Yuwei Chen

E-Mail Website
Guest Editor
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Masala, Finland
Interests: hyperspectral LiDAR; mobile mapping
Special Issues, Collections and Topics in MDPI journals
Dr. Jianxin Jia

E-Mail Website
Guest Editor
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Vuorimiehentie 5, FI-02150 Espoo, Finland
Interests: hyperspectral imaging technology; hyperspectral LiDAR; infrared imaging; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

MEMS technology opens up a new avenue for manufacturing low-cost and small-volume inertial measurement units. Micro inertial sensors are ubiquitous, and can be found in smartphones, cars, and smartwatches. Signals for the micro inertial sensors are sampled and processed for various applications, e.g., health monitoring, vibration sensing, position, and navigation. For position and navigation applications in particular, micro inertial sensors are utilized for measuring the position, velocity, and attitude information, i.e., the accelerometer is utilized to detect the pedestrian step and update the position; the micro inertial sensors are employed in a car to integrate with the GNSS to provide more reliable positional information; the UAV measures its attitude using the measurements from the micro inertial sensor. Minimizing the micro inertial sensor volume and improving the quality of its measurements have attracted much attention in the scientific community. New principles, advanced manufacturing technology, and novel signal processing algorithms are expected to improve its performance and extend its applications. This Special Issue of Micromachines aims to provide a platform for researchers to publish innovative work on advances, methods, and applications as they pertain to micro inertial sensors. Potential topics include, but are not limited to, the following:

  • Deep Learning methods for processing micro inertial sensor measurements.
  • New methods for GNSS/MEMS IMU integration and MEMS IMU auto-calibration.
  • New manufacturing technology for MEMS IMU Gyroscope array or accelerometer array technology.
  • New applications for MEMS IMUMEMS IMU-based pedestrian dead reckoning.
  • Advanced methods for MEMS IMU noise modeling and its position error suppression without GNSS.

Dr. Changhui Jiang
Prof. Dr. Shuai Chen
Dr. Yuwei Chen
Dr. Jianxin Jia
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Dr. Jianxin Jia
Dr. Yuwei Chen
Dr. Changhui Jiang
Prof. Dr. Shuai Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • micro inertial sensor
  • MEMS IMU
  • position
  • navigation
  • deep learning
  • GNSS

Related Special Issue

Published Papers (3 papers)

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Research

21 pages, 5015 KiB  
Article
The Improved Method for Indoor 3D Pedestrian Positioning Based on Dual Foot-Mounted IMU System
by Haonan Jia, Baoguo Yu, Hongsheng Li, Shuguo Pan, Jun Li, Xinjian Wang and Lu Huang
Micromachines 2023, 14(12), 2192; https://doi.org/10.3390/mi14122192 - 30 Nov 2023
Viewed by 686
Abstract
Micro-Electro-Mechanical System (MEMS) inertial sensors, characterized by their small size, low cost, and low power consumption, are commonly used in foot-mounted wearable pedestrian autonomous positioning systems. However, they also have drawbacks such as heading drift and poor repeatability. To address these issues, this [...] Read more.
Micro-Electro-Mechanical System (MEMS) inertial sensors, characterized by their small size, low cost, and low power consumption, are commonly used in foot-mounted wearable pedestrian autonomous positioning systems. However, they also have drawbacks such as heading drift and poor repeatability. To address these issues, this paper proposes an improved pedestrian autonomous 3D positioning algorithm based on dual-foot motion characteristic constraints. Two sets of small-sized Inertial Measurement Units (IMU) are worn on the left and right feet of pedestrians to form an autonomous positioning system, each integrated with low-cost, low-power micro-inertial sensor chips. On the one hand, an improved adaptive zero-velocity detection algorithm is employed to enhance discrimination accuracy under different step-speed conditions. On the other hand, considering the dual-foot gait characteristics and the height difference feature during stair ascent and descent, horizontal position update algorithms based on dual-foot motion trajectory constraints and height update algorithms based on dual-foot height differences are, respectively, designed. These algorithms aim to re-correct the pedestrian position information updated at zero velocity in both horizontal and vertical directions. The experimental results indicate that in a laboratory environment, the 3D positioning error is reduced by 93.9% compared to unconstrained conditions. Simultaneously, the proposed approach enhances the accuracy, continuity, and repeatability of the foot-mounted IMU positioning system without the need for additional power consumption. Full article
(This article belongs to the Special Issue New Advances, Methods, and Applications for Micro Inertial Sensors, 2nd Edition)
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11 pages, 8508 KiB  
Article
Electrical Characteristics of 3D Trench Electrode Germanium Detector with Nested Complementary Cathodes
by Mingyang Wang, Zheng Li, Bo Xiong and Yongguang Xiao
Micromachines 2023, 14(11), 2051; https://doi.org/10.3390/mi14112051 - 01 Nov 2023
Viewed by 675
Abstract
High-purity germanium detectors, widely employed in fields such as aerospace applications based on radiation detection principles, have garnered attention due to their broad detection range and fast response time. However, these detectors often require larger sensitive area volumes to achieve larger signals and [...] Read more.
High-purity germanium detectors, widely employed in fields such as aerospace applications based on radiation detection principles, have garnered attention due to their broad detection range and fast response time. However, these detectors often require larger sensitive area volumes to achieve larger signals and higher detection efficiency. Additionally, the large distance between the electrodes contributes to an issue of incomplete charge collection, which significantly restricts their application in space applications. To enhance the electrical performance of high-purity germanium detectors, this study introduces a strategy: designing the detector’s cathode electrode into a 3D trench shape with nested complementary cathodes. This design greatly reduces the electrode spacing, endowing the detector with superior electrical characteristics, such as a smaller dead zone and improved charge collection efficiency. Performance simulations of the novel detector structure were conducted using the semiconductor device simulation software Sentaurus TCAD (2019.03). The simulation results confirmed that the nested complementary 3D trench electrode high-purity germanium detector exhibits excellent electrical features, including a larger sensitive area volume, rapid charge collection, and good cell isolations. This approach has the potential to effectively expand the application scenarios of high-purity germanium detectors. Depending on different operational environments and requirements, nested complementary 3D trench electrode high-purity germanium detectors of appropriate structural dimensions can be chosen. The experimental findings of this study hold a significant reference value for enhancing the overall structure of high purity germanium detectors and facilitating their practical application in the future. Full article
(This article belongs to the Special Issue New Advances, Methods, and Applications for Micro Inertial Sensors, 2nd Edition)
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11 pages, 4164 KiB  
Article
Optimized Design of a Hexagonal Equal Gap Silicon Drift Detector with Arbitrary Surface Electric Field Spiral
by Jiaxiong Sun, Zheng Li, Xiaodan Li, Manwen Liu and Hongfei Wang
Micromachines 2023, 14(10), 1943; https://doi.org/10.3390/mi14101943 - 18 Oct 2023
Viewed by 696
Abstract
In our previous studies, the silicon drift detector (SDD) structure with a constant spiral ring cathode gap (g) and a given surface electric field has been partially investigated based on the physical model that gives an analytical solution to the integrals in the [...] Read more.
In our previous studies, the silicon drift detector (SDD) structure with a constant spiral ring cathode gap (g) and a given surface electric field has been partially investigated based on the physical model that gives an analytical solution to the integrals in the calculations. Those results show that the detector has excellent electrical characteristics with a very homogeneous carrier drift electric field. In order to cope with the implementation of the theoretical approach with a complete set of technical parameters, this paper performs different theoretical algorithms for the technical implementation of the detector performance using the Taylor expansion method to construct a model for cases where the parameter “j” is a non-integer, approximating the solution with finite terms. To verify the accuracy of this situation, we performed a simulation of the relevant electrical properties using the Sentaurus TCAD tool 2018. The electrical properties of the single and double-sided detectors are first compared, and then the effects of different equal gaps g (g = 10 μm, 20 μm, and 25 μm, respectively) on the electrical properties of the double-sided detectors are analyzed and demonstrated. By analyzing and comparing the electrical characteristics data from the simulation results, we can show that the double-sided structure has a larger transverse drift electric field, which improves the spatial position resolution as well as the response speed. The effect of the gap size on the electrical characteristics of the detector is also analyzed by analyzing three different gap bifacial detectors, and the results show that a 10 μm equal gap is the optimal design. Such results can be used in applications requiring large-area SDD, such as the pulsar X-ray autonomous navigation. in the future to provide navigation and positioning space services for spacecraft deep-space exploration. Full article
(This article belongs to the Special Issue New Advances, Methods, and Applications for Micro Inertial Sensors, 2nd Edition)
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