Results 241 to 250 of about 4,548 (274)

Kalman filter for adaptive antennas

Wuhan University Journal of Natural Sciences, 1998
Adaptive control algorithm is a key technique for an adaptive array. It is necessary to find a fast and efficient algorithm for gaining rapid interference suppression. Convergence speed of conventional gradient-based algorithms is extremely slow and very sensitive to eigenvalue spread of autocorrelation matrix.
Hu, Jiayuan, Zhong, Haibin
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Adaptive Kalman Filter (ROSE Filter)

2017
Um das Kalman-Filter optimal zu nutzen, ist es von groserWichtigkeit, die Kovarianz des Messrauschens \( \underline{R} \left( k \right) \) und des Systemrauschen \( \underline{Q} \left( k \right) \) moglichst exakt zu bestimmen. Erst durch eine exakte Bestimmung der beiden Kovarianzen ist es moglich, eine optimale Zustandsschatzung und eine korrekte ...
Reiner Marchthaler, Sebastian Dingler
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An Adaptive Ensemble Kalman Filter

Monthly Weather Review, 2000
Abstract To the extent that model error is nonnegligible in numerical models of the atmosphere, it must be accounted for in 4D atmospheric data assimilation systems. In this study, a method of estimating and accounting for model error in the context of an ensemble Kalman filter technique is developed.
Herschel L. Mitchell, P. L. Houtekamer
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A Slide Window Variational Adaptive Kalman Filter

IEEE Transactions on Circuits and Systems II: Express Briefs, 2020
A slide window variational adaptive Kalman filter is presented in this brief based on adaptive learning of inaccurate state and measurement noise covariance matrices, which is composed of the forward Kalman filtering, the backward Kalman smoothing, and the online estimates of noise covariance matrices.
Yulong Huang 0003, Fengchi Zhu, Guangle Jia, Yonggang Zhang 0001   +3 more
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Research of an adaptive Kalman filtering in road spectrum

2016 IEEE International Conference on Information and Automation (ICIA), 2016
For the purpose of filtering road spectrum this paper proposed an adaptive Kalman filtering (AKF) algorithm based on accurate autoregressive (AR) model. The proposed AKF can overcome the disadvantages such as complicated computation process and poor real-time performance when applying normal AKF. The algorithm can implement AKF by adjusting gain matrix
Lu Lyu, Liang Shan 0003, Lu Liu 0006, Jianxin Qian, Jun Li 0090, Zhidong Qi   +5 more
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A Neurofuzzy Adaptive Kalman Filter

2006 3rd International IEEE Conference Intelligent Systems, 2006
In this work the recently developed fuzzy logic-based adaptive Kalman filter (FL-AKF) is integrated into a neurofuzzy network structure to perform system identification and state estimation of unknown nonlinear systems. This approach, referred to as neurofuzzy adaptive Kalman filter, uses the error signal in the identification process as the ...
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A novel SLAM algorithm with Adaptive Kalman filter

2016 International Conference on Advanced Robotics and Mechatronics (ICARM), 2016
Simultaneous localization and map building(SLAM) concerns with filtering problem, which builds the map of the environment without robot's certainty position, meanwhile localize itself based on the map. Traditional SLAM algorithm addresses the problem by the Extended Kalman Filter which usually induces divergence because of inaccurate models. This paper
Xiangyuan Jiang, Tingting Li, Yunhua Yu
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Adaptive suboptimal Kalman filtering

The 22nd IEEE Conference on Decision and Control, 1983
Adaptive Kalman filtering has attracted a lot of attention during the last 15 years; perusal of the published literature shows the diversity of the techniques that have been proposed in this context. In this note, we present an adaptive Kalman filtering scheme, based on the quantization of the parameter space; this quantization is performed in order to
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Motion adaptive Kalman filter for super-resolution

SPIE Proceedings, 2011
Superresolution is a sophisticated strategy to enhance image quality of both low and high resolution video, performing tasks like artifact reduction, scaling and sharpness enhancement in one algorithm, all of them reconstructing high frequency components (above Nyquist frequency) in some way.
Martin Max Richter, Fabian Nasse, Hartmut Schröder   +2 more
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Comparison between Kalman Filter and Adaptive Filter

International Journal for Scientific Research
This study contains a comparison between the two Kalman filter and adaptive filter has huge importance because of it is uses in different applications such as air navigation planes, satellites, cameras, motions, radar, stations. Adaptive filter has various Application as well and important in CCTV and microphones.
Mohamed Mohamed, Noha Saleh
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