Results 31 to 40 of about 35,356 (190)
Online Correction Method for Ratio Methods by Using Geomagnetic Sensors Based on Kalman Filter
IEEE Access, 2019 By eliminating the data offset caused by a disturbing magnetic field during the flying condition of a spinning projectile, an adaptive unscented Kalman filter is applied to estimate the actual data of a geomagnetic field and the false value introduced by
Wei Wang, Yulin Liu
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A New Approach to Adaptive Signal Processing
, 2015 A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from just Ax=b, key ASP algorithms are derived in a simple, systematic, and integrated manner without requiring any background knowledge to the field ...
Anjum, Muhammad Ali Raza
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IEEE AccessAutonomous vehicle lane change maneuvers are an intricate task that requires multiple subsystems to work together to ensure the maneuver’s safety and efficiency.
Heyi Muluneh Hailu +2 more
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Target tracking enhancement using a Kalman filter in the presence of interference [PDF]
, 2009 In this paper we present a new target tracking enhancement system that uses a Kalman filter in the presence of interference. If the radar (seeker) is affected by different types of interference, this will affect the missile trajectory towards the target ...
Elgamel, S.A.E.H., Soraghan, J.J.
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Consensus Target Tracking in Switching Wireless Sensor Networks with Outliers
International Journal of Distributed Sensor Networks, 2014 The problem of consensus-based distributed tracking in wireless sensor networks (WSNs) with switching network topologies and outlier-corrupted sensor observations is considered.
Yan Zhou +3 more
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Precise Train Positioning With Unscented Kalman Filter and Low-Cost Sensors
IEEE Open Journal of Intelligent Transportation SystemsThis contribution is embedded into the challenge of track fault localization with low-cost hardware. For precise localization on the track, with an accuracy of a few decimeters for separating overlapping errors, a high resolution trajectory is needed and
R. Frolow, L. Zhang, V. Schwieger
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Nonlinear stability and ergodicity of ensemble based Kalman filters [PDF]
, 2015 The ensemble Kalman filter (EnKF) and ensemble square root filter (ESRF) are data assimilation methods used to combine high dimensional, nonlinear dynamical models with observed data.
Kelly, D., Majda, A. J., Tong, X. T.
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Adaptive smartphone-based sensor fusion for estimating competitive rowing kinematic metrics. [PDF]
, 2019 Competitive rowing highly values boat position and velocity data for real-time feedback during training, racing and post-training analysis. The ubiquity of smartphones with embedded position (GPS) and motion (accelerometer) sensors motivates their ...
Cloud, Bryn +7 more
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A Kalman Filter for Multilinear Forms and Its Connection with Tensorial Adaptive Filters
Sensors, 2021 The Kalman filter represents a very popular signal processing tool, with a wide range of applications within many fields. Following a Bayesian framework, the Kalman filter recursively provides an optimal estimate of a set of unknown variables based on a ...
Laura-Maria Dogariu +5 more
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Nonlinear stability of the ensemble Kalman filter with adaptive covariance inflation [PDF]
, 2015 The Ensemble Kalman filter and Ensemble square root filters are data assimilation methods used to combine high dimensional nonlinear models with observed data.
Kelly, David +2 more
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