Results 101 to 110 of about 4,548 (274)
Joint semi-blind detection and channel estimation in space-frequency trellis coded MIMO-OFDM [PDF]
, 2003 This paper considers an OFDM system with a multiple-input multiple-output (MIMO) configuration, which uses space-frequency trellis coding (SFTC). A novel method of decoding SFTC without a need to transmit separate training sequences is developed.
Nix, AR, Piechocki, RJ, McGeehan, JP
core +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.An offline methodology is applied to estimate parameters of a convective gravity‐wave scheme using momentum flux (MF) observations from constant‐level balloons (left panels: pdfs of east and west MFs in green from observations and black from EnKF). The approach integrates an ensemble Kalman filter with an expectation‐maximization algorithm and permits ...
F. Lott, P. Tandeo, M. Pulido, D. Bardet
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.The introduction of adaptive parameter tuning in the numerical weather prediction models of DWD in 2022 substantially improved the forecast quality of near‐surface variables like 2‐m temperature and 2‐m humidity. Since 2023, refinements and extensions, primarily affecting the surface evaporation and its diurnal cycle, have led to further advances ...
Günther Zängl
wiley +1 more source
Multiple object tracking using particle filters [PDF]
, 2006 The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
N. Canagarajah +11 more
core +1 more source
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani +1 more
wiley +1 more source
Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source
Electronics Letters, 1979 It is shown how the refined instrumental variable (r.i.v.) method of recursive parameter estimation can be modified simply so that it functions as an optimal adaptive filter and state-estimation algorithm.
openaire +1 more source
Adaptive Kalman Filtering Based on Subjective Logic Self-Assessment [PDF]
Monitoring and self-assessment of tracking algorithms are essential in modern automated driving systems. However, the further use of this self-assessment information is another growing and not thoroughly studied area of research.
Müller, Johannes +3 more
core +1 more source
Data Fusion Method Based on Adaptive Kalman Filtering [PDF]
, 2019 This paper discusses data fusion methods to combine the data from a rotary encoder and ultrasonic sensor. Both sensors are used in a micro-flow calibration system developed by the Research Center of Metrology LIPI.
Sirenden, Bernadus Herdi
core +2 more sources
AmesiaThis paper proposes an Input-Weighted Newton Fading Extended Kalman Filter (IW-NF-EKF) for real-time output estimation in control systems subject to modeling uncertainty and excitation-dependent disturbances.
Levent Özbek
doaj +1 more source