Litcius/Paper detail

MAINS: A Magnetic-Field-Aided Inertial Navigation System for Indoor Positioning

Chuan Huang, Gustaf Hendeby, Hassen Fourati, Christophe Prieur, Isaac Skog

2024IEEE Sensors Journal20 citationsDOIOpen Access PDF

Abstract

A Magnetic field Aided Inertial Navigation System (MAINS) for indoor navigation is proposed in this paper. MAINS leverages an array of magnetometers to measure spatial variations in the magnetic field, which are then used to estimate the displacement and orientation changes of the system, thereby aiding the inertial navigation system (INS). Experiments show that MAINS significantly outperforms the stand-alone INS, demonstrating a remarkable two orders of magnitude reduction in position error. Furthermore, when compared to the state-of-the-art magnetic-field-aided navigation approach, the proposed method exhibits slightly improved horizontal position accuracy. On the other hand, it has noticeably larger vertical error on datasets with large magnetic field variations. However, one of the main advantages of MAINS compared to the state-of-the-art is that it enables flexible sensor configurations. The experimental results show that the position error after 2 minutes of navigation in most cases is less than 3 meters when using an array of 30 magnetometers. Thus, the proposed navigation solution has the potential to solve one of the key challenges faced with current magnetic-field simultaneous localization and mapping (SLAM) solutions — the very limited allowable length of the exploration phase during which unvisited areas are mapped.

Topics & Concepts

Inertial navigation systemMagnetometerMains electricityPosition (finance)Computer scienceOrientation (vector space)Displacement (psychology)Magnetic fieldNavigation systemInertial measurement unitField (mathematics)Computer visionArtificial intelligenceEngineeringElectrical engineeringPhysicsMathematicsVoltageFinancePsychologyEconomicsQuantum mechanicsGeometryPure mathematicsPsychotherapistIndoor and Outdoor Localization TechnologiesRobotics and Sensor-Based LocalizationUnderwater Vehicles and Communication Systems