ArticleSensors (Basel, Switzerland)2021
Performance Enhancement of Consumer-Grade MEMS Sensors through Geometrical Redundancy.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Gyroscope Denoising Algorithm Based on EMD-SSA-VMD Double-Layer Decomposition.Sensors (Basel, Switzerland) · 2026Article
- Review of Research Advances in Gyroscopes' Structural Forms and Processing Technologies Viewed from Performance Indices.Sensors (Basel, Switzerland) · 2025Review
- Tendon Anomaly Identification in Prestressed Concrete Beams Based on an Advanced Monitoring MEMS and Data-Driven Detection of Structural Damage.Sensors (Basel, Switzerland) · 2025Article
- Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement.Micromachines · 2024Article
- The Use of Artificial Intelligence Approaches for Performance Improvement of Low-Cost Integrated Navigation Systems.Sensors (Basel, Switzerland) · 2023Article
- Innovative Fusion Strategy for MEMS Redundant-IMU Exploiting Custom 3D Components.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The paper deals with performance enhancement of low-cost, consumer-grade inertial sensors realized by means of Micro Electro-Mechanical Systems (MEMS) technology. Focusing their attention on the reduction of bias instability and random walk-driven drift of cost-effective MEMS accelerometers and gyroscopes, the authors hereinafter propose a suitable method, based on a redundant configuration and complemented with a proper measurement procedure, to improve the performance of low-cost, consumer-grade MEMS sensors. The performance of the method is assessed by means of an adequate prototype and compared with that assured by a commercial, expensive, tactical-grade MEMS inertial measurement unit, taken as reference. Obtained results highlight the promising reliability and efficacy of the method in estimating position, velocity, and attitude of vehicles; in particular, bias instability and random walk reduction greater than 25% is, in fact, experienced. Moreover, differences as low as 0.025 rad and 0.89 m are obtained when comparing position and attitude estimates provided by the prototype and those granted by the tactical-grade MEMS IMU.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.