Browsing by Subject "Kalman filtering"
Now showing items 1-20 of 69
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A bluetooth low energy indoor positioning system with channel diversity, weighted trilateration and Kalman filtering
(Multidisciplinary Digital Publishing Institute (MDPI), 2017-12-01)
Article
Open AccessIndoor Positioning Systems (IPS) using Bluetooth Low Energy (BLE) technology are currently becoming real and available, which has made them grow in popularity and use. However, there are still plenty of challenges related ... -
A hybrid system-level prognostics approach with online RUL forecasting for electronics-rich systems with unknown degradation behaviors
(2020-08)
Article
Restricted access - publisher's policyThis paper proposes a system-level prognostic approach for power electronic systems with slow degradation profiles. Although a model-based approach has been adopted to deal with such multivariable dynamical systems with ... -
A Kalman filter approach for the estimation of time dependent OD matrices exploiting bluetooth traffic data collection
(2012)
Conference report
Open AccessTime-Dependent Origin-Destination (OD) matrices are a key input to Dynamic Traffic Models, microscopic and mesoscopic traffic simulators are relevant examples of such models, traditionally used to assist in the design and ... -
A Kalman-filter approach for dynamic OD estimation in corridors based on bluetooth and Wi-Fi data collection
(2010)
Conference report
Open AccessFrom the point of view of the information supplied by an ATIS to the motorists entering a freeway of one of the most relevant is the Forecasted Travel Time, that is the expected travel time that they will experience when ... -
A practical method for implementing an attitude and heading reference system
(2014-04-15)
Article
Open AccessThis paper describes a practical and reliable algorithm for implementing an Attitude and Heading Reference System (AHRS). This kind of system is essential for real time vehicle navigation, guidance and control applications. ... -
A robust fault diagnosis and forecasting approach based on Kalman filter and interval type-2 fuzzy logic for efficiency improvement of centrifugal gas compressor system
(2019-01-01)
Article
Open AccessThe paper proposes a robust faults detection and forecasting approach for a centrifugal gas compressor system, the mechanism of this approach used the Kalman filter to estimate and filtering the unmeasured states of the ... -
A robust framework for the estimation of dynamic OD trip matrices for reliable traffic management
(Elsevier, 2015)
Article
Open AccessOrigin-Destination (OD) trip matrices describe the patterns of traffic behavior across the network and play a key role as primary data input to many traffic models. OD matrices are a critical requirement, either in static ... -
A stochastic linear model to evaluate the dielectric constant-electrical conductivity relation of a sandy soil using TDR records
(2018)
Conference report
Restricted access - publisher's policyDespite the importance of evaluating soil pore water electrical conductivity from soil bulk electrical conductivity in ecological and hydrological applications, it still has not been worked out very well. This study was ... -
A study of QR decomposition and Kalman filter implementations
(Universitat Politècnica de Catalunya, 2014-09)
Master thesis (pre-Bologna period)
Open Access
Covenantee: Kungliga Tekniska högskolan[ANGLÈS] With the rapid development of new technologies during the last decades, the demand of complex algorithms to work in real-time applications has increased considerably. To achieve the real time expectations and to ... -
A wire-based active tracker
(IEEE, 2008)
Article
Open AccessWire-based tracking devices are an affordable alternative to costly tracking devices. They consist of a fixed base and a platform, attached to the moving object, connected by six wires whose tension is maintained along the ... -
Active damping control for a three phase grid-connected inverter using sliding mode control
(2013)
Conference report
Restricted access - publisher's policyThis paper proposes a ne w active damping method based on virtual resistors for three-phase grid connected voltage source inverters (VSI) with LCL filter. The use of this filters is a standard solution to provide the ... -
Adaptive estimation of the stable boundary-layer height using backscatter lidar data and a Kalman filter
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference lecture
Restricted access - publisher's policyThe nocturnal stable boundary-layer height (SBLH) is estimated from the backscatter lidar data by using an adaptive-filtering approach based on an Extended Kalman Filter (EKF). Height-resolved temporal variance of the ... -
Adaptive Filter Solution For Processing Lidar Returns: Optical Parameter Estimation
(OPTICAL SOC AMER, 1998-01-31)
Article
Open AccessJoint estimation of extinction and backscatter simulated profiles from elastic-backscatter lidar return signals is tackled by means of an extended Kalman filter (EKF). First, we introduced the issue from a theoretical point ... -
Adaptive Kalman Filter-Based Phase-Tracking in GNSS
(Universitat Politècnica de Catalunya, 2010-10-04)
Bachelor thesis
Open AccessThis work introduces, implements and evaluates different adaptive Kalman filtering techniques based on the innovation autocorrelation function. The reason of considering these adaptive techniques is the effect of a wrong ... -
Amortized constant time state estimation in SLAM using a mixed Kalman-information filter
(2009)
Conference lecture
Open AccessThe computational bottleneck in all informationbased algorithms for SLAM is the recovery of the state mean and covariance. The mean is needed to evaluate model Jacobians and the covariance is needed to generate data ... -
An integrated Computational framework for the estimation of dynamic OD trip matrices
(2015)
Conference report
Restricted access - publisher's policyOrigin-Destination (OD) trip matrices describe the patterns of traffic behavior across the network and play a key role as primary data input to many traffic models. OD matrices are a critical requirement, either in static ... -
Analysis and verification of suitable li-ion models as basis for a self-adaptive battery observer
(Universitat Politècnica de Catalunya, 2018-01-10)
Bachelor thesis
Restricted access - author's decisionThe purpose of this project is to create and simulate a self-adaptive battery observer using Matlab Simulink. The first phase of the project involves the research of a suitable lithium-ion cell model to cover a wide range ... -
Analysis of differential correction techniques for orbit determination interferometry
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference lecture
Restricted access - publisher's policyOrbit determination errors are expected to be a major threat for obtaining focused images on Geostationary Synthetic Aperture Radar (GeoSAR) missions. A ground-based interferometer system is presently being under research ... -
Array covariance error measurement in adaptive source estimation
(1994)
Conference report
Open AccessThe small error approximation is used to derive a linear relationship between the source parameters (i.e. power levels and directions of arrival) and a measurement of the covariance error matrix, defined as the difference ... -
Atmospheric boundary layer height monitoring using a kalman filter and backscatter lidar returns
(Institute of Electrical and Electronics Engineers (IEEE), 2014-08-01)
Article
Restricted access - publisher's policyA solution based on a Kalman filter to trace the evolution of the atmospheric boundary layer (ABL) sensed by a ground-based elastic-backscatter tropospheric lidar is presented. An erf-like profile is used to model the ...
