From the 1 of 10 linked papers with an AI index.
7 papers · 1 filter
Magnetic-Field-Based Localization Using Spatial Field Variations: Signal Processing Principles, Models, and Challenges
Isaac Skog, Manon Kok, Christophe Prieur +1
The paper surveys signal‑processing methods for indoor and outdoor localization that exploit spatial variations in the Earth's magnetic field, covering modeling, state inference, a…
Utilizing Missed Detections in Directional Sensitivity-Based DOA Estimation
Gustav Zetterqvist, Fredrik Gustafsson, Gustaf Hendeby
This paper introduces a signal strength-based direction of arrival (DOA) estimation approach for directional sensors that explicitly accounts for missed detections. In traditional…
Tracking Time-Varying Multipath Channels forActive Sonar Applications
Ashwani Koul, Gustaf Hendeby, Isaac Skog
Reliable detection and tracking in active sonar require accurate and efficient learning of the acoustic multipath background environment. Conventionally, background learning is per…
Performance Analysis of Communication Signals for Localization in Underwater Sensor Networks
Ashwani Koul, Gustaf Hendeby, Isaac Skog
Efficient localization in underwater sensor networks faces challenges due to limited bandwidth, energy constraints, and hardware complexity. Traditional systems separate sensing an…
Road Roughness Estimation via Fusion of Standard Onboard Automotive Sensors
Martin Agebjär, Gustav Zetterqvist, Fredrik Gustafsson +2
Road roughness significantly affects vehicle vibrations and ride quality. We introduce a Kalman filter (KF)-based method for estimating road roughness in terms of the international…
On the Connection Between Magnetic-Field Odometry Aided Inertial Navigation and Magnetic-Field SLAM
Isaac Skog, Manon Kok, Gustaf Hendeby +2
Magnetic-field simultaneous localization and mapping (SLAM) using consumer-grade inertial and magnetometer sensors offers a scalable, cost-effective solution for indoor localizatio…