Results 11 to 20 of about 35,356 (190)
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.
McGeehan, JP, Nix, AR, Piechocki, RJ
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Journal of Research of the National Bureau of Standards, 1985 The increased power of small computers makes the use of parameter estimation methods attractive. Such methods have a number of uses in analytical chemistry. When valid models are available, many methods work well, but when models used in the estimation are in error, most methods fail.
Brown, Steven D., Rutan, Sarah C.
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Adaptive Kalman filter equaliser
Electronics Letters, 1980 A new adaptive equaliser for digital communication channels is proposed. It is derived from a state-variable representation of the communication channel by means of the extended Kalman filter technique. The equaliser proposed is structured as two Kalman filters, one estimating the transmitted data symbols, the other the unknown channel parameters.
DALLE MESE E, CORSINI, GIOVANNI
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Robust Estimation of Optical Phase Varying as a Continuous Resonant Process [PDF]
, 2013 It is well-known that adaptive homodyne estimation of continuously varying optical phase provides superior accuracy in the phase estimate as compared to adaptive or non-adaptive static estimation.
Huntington, Elanor H. +2 more
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Speed adaptation as Kalman filtering
Journal of Vision, 2008 If the purpose of adaptation is to fit sensory systems to different environments, it may implement an optimization of the system. What the optimum is depends on the statistics of these environments. Therefore, the system should update its parameters as the environment changes.
Barraza, Jose Fernando +1 more
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The Joint Adaptive Kalman Filter (JAKF) for Vehicle Motion State Estimation
Sensors, 2016 This paper proposes a multi-sensory Joint Adaptive Kalman Filter (JAKF) through extending innovation-based adaptive estimation (IAE) to estimate the motion state of the moving vehicles ahead.
Siwei Gao +4 more
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Adaptive Observer and Kalman Filtering [PDF]
IFAC Proceedings Volumes, 2008 Abstract In this paper the problem of the speed estimation of an Unmanned Aerial Vehicle is addressed, when only the standard outputs (acceleration, angles and angular speeds) are available for measurement. We focus our analysis on a prototype drone - a 4 rotors helicopter robot-which is not equipped with GPS related devices and relies on the ...
Benzemrane, Khadidja +2 more
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Application of fractional sensor fusion algorithms for inertial mems sensing
Mathematical Modelling and Analysis, 2009 The work presents an extension of the conventional Kalman filtering concept for systems of fractional order (FOS). Modifications are introduced using the Grünwald‐Letnikov (GL) definition of the fractional derivative (FD) and corresponding truncation of ...
Michailas Romanovas +3 more
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A novel variational Bayesian adaptive Kalman filter with mismatched process noise covariance matrix
IET Radar, Sonar & Navigation, 2023 This paper proposes a novel variational Bayesian (VB) adaptive Kalman filter with mismatched process noise covariance matrix (PNCM). Firstly, this paper explains the reason why the predicted error covariance matrix (PECM) is chosen for variational ...
Xinrui Liu +3 more
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Local ensemble transform Kalman filter, a fast non-stationary control law for adaptive optics on ELTs: theoretical aspects and first simulation results [PDF]
, 2014 We propose a new algorithm for an adaptive optics system control law, based on the Linear Quadratic Gaussian approach and a Kalman Filter adaptation with localizations.
Bertino, Laurent +6 more
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