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1

Application the GPS observations in SPP method for aircraft positioning in flight experiment in Dęblin, Poland (01.06.2010)

Krasuski K.

Journal of Automation Mobile Robotics and Intelligent Systems

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2017

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Vol. 11, No. 1

42--47

EN

In this article, the results of GPS positioning in civil aviation are presented. The flight test was conducted using Cessna 172 aircraft in Dęblin on 1st of June 2010. The aircraft position was determinated using Single Point Positioning method for GPS code observations. The numerical computations were executed in Aircraft Positioning Software (APS) in Scilab 5.4.1 language. The average accuracy of aircraft position is higher than 11 m in horizontal coordinates and about 13 m in vertical plane, respectively.

2

Application the GPS code observations in BSSD method for recovery the position of the aircraft

Krasuski K.

Journal of Automation Mobile Robotics and Intelligent Systems

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2017

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Vol. 11, No. 3

45--52

EN

In this paper, the results of aircraft positioning based on GPS code observations in air aviation are presented. The aircraft position was recovery using Between Satellite Single Difference (BSSD) method in GPS system. The BSSD method was applied for designation the precise position of Cessna 172 plane in flight test in air navigation. The coordinates of Cessna 172 plane were determinated using least square estimation in XYZ geocentric frame. The average accuracy of aircraft position equals to 0.797 m for X axis, 0.496 m for Y axis and 0.966 m for Z axis, respectively. In addition, the protection level of HPL parameter amounts to 4.991 m and 5.749 m for VPL term. In paper, the XYZ coordinates of Cessna 172 plane were also compared with PPP solution from GAPS software. The value of RMS bias is about 1.642 m for X axis, 0.902 m for Y axis and 0.892 m for Z axis, respectively.

3

Comparative Analysis of Channel Estimation Techniques in SISO, MISO and MIMO Systems

Obinna O., Kennedy O., Osemwegie O., Nsikan N.

International Journal of Electronics and Telecommunications

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2017

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Vol. 63, No. 3

299--304

EN

The ever-growing need for high data rate, bandwidth efficiency, reliability, less complexity and less power consumption in our communication systems is on the increase. Modern techniques have to be developed and put in place to meet these requirements. Research has shown, that compared to conventional Single Input Single Output (SISO) systems, Multiple-Input Single Output (MISO), and Multiple-Input Multiple-Output (MIMO) can actually increase the data rate of a communication system, without actually requiring more transmit power or bandwidth. This paper aims at the investigation of the existing channel estimation techniques. Based on the pilot arrangement, the block type and comb type are compared, employing the Least Square estimation (L.S) and Minimum Mean Squared Error (MMSE) estimators. Pilots occupy bandwidth, minimizing the number of pilots used to estimate the channel, in order to allow for more bandwidth utilization for data transmission, without compromising the accuracy of the estimates is taken into consideration. Various channel interpolation techniques and pilot-data insertion ratio are investigated, simulated and compared, to determine the best performance technique with less complexity and minimum power consumption. As performance measures, the Mean Squared Error (MSE) and Bit Error Rate (BER) as a function of Signal to Noise power Ratio (SNR) of the different channel estimation techniques are plotted, in order to identify the technique with the most optimal performance. The complexity and energy efficiency of the techniques are also investigated. The system modelling and simulations are carried out using Matlab simulation package. The MIMO gives the optimum performance, followed by the MISO and SISO. This is as a result of the diversity and multiplexing gain experienced in the multiple antenna techniques using the STBC.

4

Estimation differential code biases (DCB) P1-C1 using GLONASS data in flight experiment on the Dęblin aerodrome (01.06.2010)

Krasuski K.

Aparatura Badawcza i Dydaktyczna

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2017

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T. 22, nr 1

72--77

EN

The studies results of instrumental biases DCB (Differential Code Biases) P1-C1 and their accuracy are presented in this paper. The research test was realized using GLONASS kinematic data (e.g. code observations P1 and C1) from dual-frequency Topcon Hiper Pro receiver. The Topcon Hiper Pro receiver was installed in Cessna 172 plane during flight experiment on the Dęblin military aerodrome on 1st June 2010. The instrumental biases DCB P1-C1 were estimated in SciTEC Toolbox software package in post-processing mode. The instrumental biases DCB P1-C1 are applied for correction the values of receiver and satellite clock bias in adjustment processing of GLONASS observations. In this article, the instrumental biases DCB P1-C1 for satellites are also compared with CODE products. The mean differ- ence of DCB P1-C1 bias for satellites between SciTEC and CODE solution amounts to 0.136 ns, whereas the RMS bias equals to 3.783 ns.

PL

W artykule zaprezentowano rezultaty badań dotyczące wyznaczenia opóźnień sprzętowych DCB P1-C1 oraz ich dokładności. Test badawczy został zrealizowany z użyciem obserwacji kinematycznych GLONASS (P1 i C1) z dwuczęstotliwościowego odbiornika Topcon Hiper Pro. Odbiornik Topcon Hiper Pro został zainstalowany w samolocie Cessna 172 podczas eksperymentu lotniczego na lotnisku w Dęblinie w dniu 01.06.2010. Opóźnienia sprzętowe DCB P1-C1 zostały wyznaczone w programie SciTEC Toolbox w trybie post-processingu. Opóźnienia sprzętowe DCB P1-C1 są stosowane w opracowaniu obserwacji GLONASS do korekcji wartości poprawki chodu zegara odbiornika i satelity. W artykule dokonano rów- nież porównania opóźnień sprzętowych dla satelitów DCB P1-C1 z produktami CODE. Średnia różnica wartości opóźnień sprzętowych dla satelitów DCB P1-C1 pomiędzy rozwiązaniem SciTEC i CODE wynosi 0,136 ns, a błąd RMS jest równy 3,783 ns.

5

Estimation of pose parameters from a set of least square objective functions

Hati S.

Machine Graphics and Vision

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2008

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Vol. 17, No. 3

299-312

EN

In this paper, we have attempted to solve the pose estimation problem for a 3-dimensional object by independently estimating the pose parameters through the minimization of a set of objective, functions, using Gauss approximation techniques for least squares optimization. In our implementation, the 3-D object is assumed to have three degrees of freedom on a flat surface, which is typical of automated visual inspection applications. However, the solution can be also extended to greater degrees of freedom. We have is shown that the pose can be estimated by only considering the x-coordinates of the known vertices in the projected space, but the same is not true if we consider the y-coordinates alone. We propose a set of modified objective functions from which it is possible to find the pose parameters. The parameters have been determined in noisy conditions under 20-dB and 40-dB SNR values and the robustness of the estimators is confirmed.

6

Metoda zagęszczania pomiarów dynamicznych dla racjonalnego przechowywania informacji o procesie

Janiszowski K., Kamińska M.

Pomiary Automatyka Kontrola

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2005

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R. 51, nr 9 bis

100--102

PL

W niniejszym artykule poruszana jest problematyka przetwarzania danych pomiarowych, zawierających informacje o dynamice procesu, w procesie identyfikacji. Proponowany jest algorytm zagęszczania danych, stosowany do określenia modeli rozmytych o strukturze TSK. Rozwiązanie to pozwala na wielokrotne zredukowanie liczby danych bez istotnej utraty informacji o dynamice procesu, a także na ich efektywne gromadzenie w celu diagnostyki.

EN

Following article contains the discussion of measurement data processing in identification of system dynamics. The proposed algorithm is focused on compacting data used to identify of TSK models. This solution significantly reduces amount of data without the loss of information about the process dynamics. The reduced data set can be effectively stored for diagnostic purposes.