8 papers · 1 filter
A Computationally Efficient Likelihood Approximation for Target Tracking in Time-Varying Multipath Channels
Ashwani Koul, Gustaf Hendeby, Isaac Skog
Active sonar target tracking in shallow-water environments is challenging when weak target echoes are embedded in a time-varying background containing structured multipath componen…
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…
Magnetic-Field-Based Localization Using Spatial Field Variations: Signal Processing Principles, Models, and Challenges
Isaac Skog, Manon Kok, Christophe Prieur +1
Signal processing has played, and continues to play, a fundamental role in the evolution of modern localization technologies. Localization using spatial variations in the Earth's m…
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…