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Journal of Telecommunications and Information Technology
2013 nr 4 16--21
EN The paper presents an idea of using the Kalman Filtering (KF) for learning the Artificial Neural Networks (ANN). It is shown that KF can be fully competitive or more beneficial method with comparison standard Artificial Neural Networks learning techniques. The development of the method is presented [...]
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Zeszyty Naukowe Akademii Marynarki Wojennej
PL Głównym celem projektu realizowanego w Katedrze Zawansowanej Geodezji w Pradze jest nowe zastosowanie The Global Navigational Satellite System. Jego istotną funkcjonalnością jest określanie lokalizacji obiektu poruszającego się po zadanej trasie. Nowe i unikalne cechy odnoszą się do jednoczesnego pr[...]
EN A new application using The Global Navigation Satellite System is the main objective of a project developed at the Department of Advanced Geodesy of CTU in Prague. Essential functionality is determining the location of a moving object on a predefined track. New and unique features deal with simultan[...]
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Metrology and Measurement Systems
2013 Vol. 20, nr 2 307--322
EN This paper presents a Kalman filter based method for diagnosing both parametric and catastrophic faults in analog circuits. Two major innovations are presented, i.e., the Kalman filter based technique, which can significantly improve the efficiency of diagnosing a fault through an iterative structur[...]
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Metrology and Measurement Systems
EN In this paper we introduce a self-tuning Kalman filter for fast time-domain amplitude estimation of noisy harmonic signals with non-stationary amplitude and harmonic distortion, which is the problem of a contactvoltage measurement to which we apply the proposed method. The research method is based o[...]
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Annual of Navigation
2006 No. 11 47-62
EN In positioning systems Kalman filters are used for estimation and also for integration of data from navigation systems and sensors. The Kalman filter (KF) is an optimal linear estimator when the process noise and the measurement noise can be modeled by white Gaussian noise. In situations when the pr[...]
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Control and Cybernetics
EN A new approach for construction of an object maneuvering model for evaluation of movement trajectory using Kalman filter is proposed. The approach proposed is based on application of the object's dynamic equations. Such approach is better for obtaining adequate models of object maneuvering in compar[...]
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Schedae Informaticae
EN The results of application of multichannel Kalman filtering to reduction of uncorrelated noise in magnetotelluric recordings are discussed in this article. Magnetotelluric method of Earth structure recognition is shortly presented together with the its most popular measurement method called the remo[...]
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Archives of Control Sciences
EN An extended least square (ELS) technique has been proposed in this paper for power system frequency estimation. The validation of the above technique has been made by comparing its performance with the existing techniques such as Kalman filter (KF) and least mean square (LMS) technique etc. It has b[...]
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Metrology and Measurement Systems
EN This article presents a parameter estimation algorithm for observation models with nonlinear constraints. A prominent example that belongs to this category is the continuous auto-calibration of stereo cameras. Here, our knowledge of the relation between the available measurements and the desired par[...]
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Poznan University of Technology Academic Journals. Electrical Engineering
2007 No 55 145-155
EN In this paper possibilities of the application of Kalman filter algorithm for rotor and sta-tor fault detection of the induction motor fed by PWM inverter are demonstrated. The induction motor conditions are analyzed using estimated rotor resistance and estimated stator resistance. The motor mathema[...]
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Control and Cybernetics
2013 Vol. 42, no. 4 743--754
EN In the paper, state filtration in a LQG problem formulated for a multisensor system is considered. Control is determined by a central node as a linear form of a state estimate. It is assumed that control values are not available to local nodes. Because of the drawbacks of centralized filtration an o[...]
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Annual of Navigation
2016 No. 23 53--68
PL Przetwarzanie sygnałów odbieranych w odbiorniku GPS obejmuje szereg operacji, w wyniku których wyznaczane są między innymi współrzędne i prędkości satelitów w globalnym układzie współrzędnych ECEF oraz pseudoodległości i zmiany pseudoodległości pomiędzy użytkownikiem systemu a poszczególnymi obserwo[...]
EN Processing of signals in Global Positioning System (GPS) receivers includes numerous signal and data operations leading to calculation of coordinates and velocities of satellites in global Earth-Centered Earth-Fixed (ECEF) frame of reference as well as pseudoranges and delta-ranges between the user [...]
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Hydroacoustics
2015 Vol. 18 87-94
EN The transmission properties of underwater acoustic communication channel can change dynamically due to the movement of acoustic system transmitter and receiver or underwater objects reflecting transmitted signal. The time-varying impulse response measurement and estimation are necessary to match the[...]
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Bulletin of the Polish Academy of Sciences. Technical Sciences
2013 Vol. 61, nr 4 955--971
EN The paper presents an analysis of a mathematical model of the human arm dynamics in terms of observability. The purpose of the performed experiments is the selection of an observer for the possibility of arm tracking. The arm model is based on the two-link manipulator moving horizontally and vertica[...]
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Annual of Navigation
2004 No. 8 97-110
EN Position estimation in integrated navigation systems often calls for operations on nonlinear system models. Dynamics nonlinearity of an object, which position we want to estimate requires using special filters. The Extended Kalman Filter based on linearization of nonlinear functions is generally acc[...]
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International Journal of Electronics and Telecommunications
EN This paper presents an algorithm of multisensor decentralized data fusion for radar tracking of maritime targets. The fusion is performed in the space of Kalman Filter and is done by finding weighted average of single state estimates provided be each of the sensors. The sensors use numerical or neur[...]
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Journal of Automation Mobile Robotics and Intelligent Systems
EN This article contains the description of MEMS accelerometers implementation to device which is able to measure danger tilt. We can find out actual tilt in two basic axes X and Y, from -90 centigrade to +90 centigrade. Z Axis can only detect fall of device or in vehicle system very fast downhill grad[...]
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Journal of Automation Mobile Robotics and Intelligent Systems
EN The paper presents the method of determining the global orientation of links of the measuring arm by gauging the angles of the links relative to the vector of the gravitational and magnetic field using inertial sensors. A method of using Kalman filter to average the results is presented as a test on[...]
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TTS Technika Transportu Szynowego
2015 R. 22, nr 12 62--65, CD
PL W artykule przedstawiono zagadnienia związane z diagnostyką procesu nawigacji w modelu nawigacji zintegrowanej wykorzystującej klasyczny filtr Kalmana. Wprowadzono pojęcie procesu diagnostyki jako wektora odchyleń pomiarów od wartości estymowanych parametrów nawigacyjnych. Przeprowadzono symulacje z[...]
EN This paper presents issues related to navigation process diagnostic in integrated navigation model that uses classic Kalman filter. This work introduces the concept of diagnostic process as a vector of measurement deviation from estimated values of navigation parameters. Simulations were performed u[...]
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Zeszyty Naukowe. Telekomunikacja i Elektronika / Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy
2011 z. 14 69-78
PL W pracy przedstawiono zastosowanie filtru Kalmana do prognozowania czasu przybycia autobusów. Filtr Klamana to algorytm rekurencyjnego wyznaczania minimalno-wariancyjnej estymaty wektora stanu układu dynamicznego, na podstawie pomiaru wejść i wyjść tego układu. Zbadano trzy algorytmy predykcji: algo[...]
EN This paper describes use of Kalman's filter for prediction of time of arrival of bus. Kalman filter is recursive algorithm determining the minimum-variance estimate of the state vector of dynamic system, based on the measurement of inputs and outputs of the system. Three prediction algorithms used:[...]
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