2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)最新文献_第4页

Impact of Amplitude and Demodulation Errors on the Nonlinear Frequency Modulated Gyroscope 幅值和解调误差对非线性调频陀螺仪的影响

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/INERTIAL56358.2023.10104025

A. Sabater

引用次数: 1

Sensor Individual Non-Orthogonality Correction in Low-Cost MEMS Gyroscopes Using Neural Networks 基于神经网络的低成本MEMS陀螺仪传感器个体非正交校正

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/INERTIAL56358.2023.10103806

Patrick Tritschler, T. Hiller, T. Ohms, Wolfram Mayer, A. Zimmermann

引用次数: 1

Manufacture of hemi-spherical resonators using printable fused silica glass 利用可印刷熔融石英玻璃制造半球形谐振器

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/INERTIAL56358.2023.10103948

Yahya Atwa, H. Shakeel

引用次数: 0

INERTIAL 2023 Symposium Proceedings 惯性2023研讨会论文集

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/inertial56358.2023.10103990

引用次数: 0

Searching for the Origin of Zero-Rate Offset and Scale-Factor Drift in Nems-Based Nav-Grade Gyroscope 基于nems的导航级陀螺仪零速率偏移和尺度因子漂移的根源研究

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/INERTIAL56358.2023.10104013

A. Buffoli, Pietro Segala, M. Gadola, T. Verdot, P. Robert, G. Langfelder

引用次数: 2

Shear mode bulk acoustic wave type gyroscope based on c-axis tilted ScAlN piezoelectric films 基于c轴倾斜ScAlN压电薄膜的剪切模式体声波型陀螺仪

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/INERTIAL56358.2023.10104023

Momoka Matsumura, Yuna Koike, Ryo Seki, T. Yanagitani

引用次数: 0

Prio-IMU: Prioritizable IMU Array for Enhancing Foot-mounted Inertial Navigation Accuracy Prio-IMU:用于提高足载惯性导航精度的可优先级IMU阵列

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/INERTIAL56358.2023.10103991

Chi-Shih Jao, Danmeng Wang, A. Shkel

{"title":"Prio-IMU: Prioritizable IMU Array for Enhancing Foot-mounted Inertial Navigation Accuracy","authors":"Chi-Shih Jao, Danmeng Wang, A. Shkel","doi":"10.1109/INERTIAL56358.2023.10103991","DOIUrl":"https://doi.org/10.1109/INERTIAL56358.2023.10103991","url":null,"abstract":"This paper presents a prioritizable Inertial Measurement Unit (IMU) array, referred to as the Prio-IMU, which is a systematic approach to mitigate the problem of insufficient sensor's Full-Scale Range (FSR) and bandwidth, in the case of foot-mounted Inertial Navigation Systems (INS). The Prio-IMU integrates multiple IMUs with different sensor characteristics, aligns all the sensor measurements to a universal coordinate frame, and prioritizes the usage of each integrated sensor based on different scenarios. We developed a Prio-IMU prototype integrating two IMUs (ICM-20948 and ICM-20649) and a 3-axis accelerometer (ADXL375) and conducted a series of pedestrian navigation experiments involving walking and running. We observed that during the heel-strike phases of running activity, accelerometer and gyroscope measurements as large as 70 [gravity (g)] and 2600 [degree per second (dps)] could be picked up by the developed Prio-IMU prototype. The experimental results showed that the navigation accuracy of the Zero-velocity-UPdaTe (ZUPT)-aided INS using the proposed Prio-IMU was improved by 79% and 82% along the horizontal and vertical directions, as compared to the case of using a single IMU.","PeriodicalId":236326,"journal":{"name":"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115938177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of Localization Error in Multi-Agent Systems through Cooperative Positioning: Autonomous Navigation in Partially Denied GNSS Environments 基于协同定位的多智能体系统定位误差优化:部分拒绝GNSS环境下的自主导航

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/INERTIAL56358.2023.10103968

S. Shahkar, K. Khorasani

{"title":"Optimization of Localization Error in Multi-Agent Systems through Cooperative Positioning: Autonomous Navigation in Partially Denied GNSS Environments","authors":"S. Shahkar, K. Khorasani","doi":"10.1109/INERTIAL56358.2023.10103968","DOIUrl":"https://doi.org/10.1109/INERTIAL56358.2023.10103968","url":null,"abstract":"This paper proposes a novel navigation technique in multi-agent autonomous vehicles to improve network localization in a partially denied GNSS (Global Navigation Satellite System) environment, where at least one agent (referred to as the leader) has access to its actual position, and the GNSS denied part of the network tends to achieve consensus over the position of individual agents, based on the position of the leader. In a large network of autonomous vehicles (as in the Internet of Drones (IoD), or UGV traffic control) a fully-denied GNSS environment is rarely the case, as on one hand GNSS cyberattacks (including malicious jamming, spoofing, and meaconing) cannot affect extensive spaces (due to limited energy resources of adversaries), and on the other hand naturally obscured GNSS signals are often locally restricted features, and rarely span over vast geographic areas. This paper argues that if any anonymous agent in a connected network has access to GNSS, then all other agents could estimate their own locations by sensing their relative distance with respect to adjacent agents, and also exchanging their own estimated locations with respective neighbours, hence, accomplishing “cooperative positioning”. It is shown that network localization is improved through optimization of its topology.","PeriodicalId":236326,"journal":{"name":"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130727300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Verifying IMU Suitability for Recognition of Freshwater Mussel Behaviors 验证IMU对淡水贻贝行为识别的适用性

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/INERTIAL56358.2023.10104026

William Jackson, Alan Marchiori, Stewart J. Thomas, Elizabeth Capaldi, S. Reese

{"title":"Verifying IMU Suitability for Recognition of Freshwater Mussel Behaviors","authors":"William Jackson, Alan Marchiori, Stewart J. Thomas, Elizabeth Capaldi, S. Reese","doi":"10.1109/INERTIAL56358.2023.10104026","DOIUrl":"https://doi.org/10.1109/INERTIAL56358.2023.10104026","url":null,"abstract":"Freshwater mussels are both an important and threatened part of our ecosystem. They are extremely efficient in cleaning natural water resources, yet surprisingly little is known about the behaviors of these animals, making threat mitigation difficult. As activity recognition based on the use of accelerometers is known to be effective in humans and other animals, this work applies such methods to the study of freshwater mussels in order to aid further scientific study. In this paper, we present results from a laboratory experiment where three inertial measurement units (IMU) were attached to the shell of mussels for approximately 24 to 48 hours. Over this period, we observed several interesting behaviors and verified the sensor arrangement can differentiate active and inactive periods as well as quantify gape frequency, duration, and intensity. Our future work is to develop a complete mussel sensor network where multiple mussels can be monitored in situ for an extended period of time. By better understanding the behavior of these animals, we aim to develop new ways to quantify ecosystem health and more effective conservation strategies.","PeriodicalId":236326,"journal":{"name":"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114230249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scale Factor Instability Noise in Mode-Split Open-Loop MEMS Gyroscopes 模式分裂开环MEMS陀螺仪的比例因子不稳定性噪声

2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2023-03-28 DOI: 10.1109/INERTIAL56358.2023.10103803

Miloš Vujadinović, T. Hiller, Lukas Blocher, T. Balslink, Dusan Radovic, T. Northemann, A. Buhmann, B. Choubey

{"title":"Scale Factor Instability Noise in Mode-Split Open-Loop MEMS Gyroscopes","authors":"Miloš Vujadinović, T. Hiller, Lukas Blocher, T. Balslink, Dusan Radovic, T. Northemann, A. Buhmann, B. Choubey","doi":"10.1109/INERTIAL56358.2023.10103803","DOIUrl":"https://doi.org/10.1109/INERTIAL56358.2023.10103803","url":null,"abstract":"This paper presents analyses of scale factor instability noise (SIS) in mode-split, open-loop MEMS gyroscopes. As the name indicates, scale factor instability noise is a stochastic variation of a gyroscope's scale factor. If analyzed via Allan deviation measurement, it appears as bias instability proportional to the applied angular rate. We propose a theoretical model for the root causes of scale factor instability and validate it against measurements using 14 triaxial, consumer-grade devices and a high-precision rate table. The mechanisms are separated into contributions of 1/f noise of the analog-digital converter (ADC) gain and 1/f noise on the central mass voltage $V_{cm}$ acting electro-mechanically on the entire system through frequency tuning. The latter mechanism is separated further into effects of sense resonator gain and phase instability with susceptibilities of about -5%/V each. Our findings are substantiated by voltage variation experiments. The model can explain the observed scale factor instability noise of about 0.013 dph/dps or 3.6 ppm in full.","PeriodicalId":236326,"journal":{"name":"2023 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132298596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1