Maximum likelihood estimation for passive energy-based footstep localization

• Published in: Mechanical systems and signal processing Vol. 163; p. 108158
• Main Authors: Alajlouni, Sa’ed, Baker, Jonathan, Tarazaga, Pablo
• Format: Journal Article
• Language: English
• Published: Berlin Elsevier Ltd 15.01.2022; Elsevier BV
• Subjects: Acceleration; Accelerometers; Cramer-Rao bounds; Cramér–Rao lower bound (CRLB); Damping; Error analysis; Floor accelerometers; Geometric dilution of precision; Kalman filters; Localization; Localization method; Lower bounds; Maximum likelihood estimation; Maximum likelihood estimation (MLE); Maximum likelihood estimators; Occupant path tracking; Path tracking; Propagation velocity; Received signal strength; Sensors; Signal strength; Smart buildings; Variance analysis; Floor accelerometers; Received signal strength; Cramér–Rao lower bound (CRLB); Smart buildings; Maximum likelihood estimation (MLE); Occupant path tracking

Smart living spaces gather real-time sensor data and use the data to infer, predict, and make decisions. One important way of informing smart living systems is by localizing and tracking occupants. This paper utilizes floor vibration data generated by occupant footsteps—captured by a network of unde...