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    Wyświetlanie 1-6 z 6
    Tytuł:
    A wideband smart antenna employing spatial signal processing
    Autorzy:
    Uthansakul, M.
    Białkowski, M. E.
    Powiązania:
    https://bibliotekanauki.pl/articles/307580.pdf
    Data publikacji:
    2007
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    direction estimation
    null steering
    wideband beamforming
    wideband smart antenna
    wideband antenna
    Opis:
    A smart antenna with capability of beam steering in azimuth over a wide frequency band using only spatial signal processing is presented. Filters and tapped-delay networks employed in conventional wideband linear arrays are avoided by using a two-dimensional rectangular array structure. In this array, only constant real-valued weighting coefficients, realized with amplifiers or attenuators, are used to form a desired radiation pattern. In order to estimate direction of arrival of a wideband signal, the MUSIC algorithm in conjunction with an interpolated array technique is applied. In the interpolated array technique, a composite covariance matrix is generated, which is a simple addition of covariance matrices of narrowband virtual arrays, being stretched or compressed versions of a nominal array. A working prototype of this wideband array is presented. Its operation is assessed via full EM simulations and measurements.
    Źródło:
    Journal of Telecommunications and Information Technology; 2007, 1; 13-17
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Localisation of partial discharges sources using acoustic transducers arrays
    Autorzy:
    Polak, F.
    Sikorski, W.
    Siodła, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/97543.pdf
    Data publikacji:
    2014
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    partial discharge
    Signal Source Localisation
    Transducer Array
    Direction of Arrival (DOA) Estimation
    music
    Opis:
    This paper concerns the issue of the partial discharge (PD) sources location using acoustic emission transducer arrays technique and the high resolution direction of arrival estimation technology. In addition to the theoretical assumptions of both techniques, the simulation result, in which an uniform linear array (ULA) was used for registration of the acoustic emission signals generated by defects in power transformer insulation system were shown. To estimate the direction of arrival (DOA) of acoustic signals, that propagate from the discharge-generating defect to the transducer array installed on transformer tank, Multiple Signal Classification (MUSIC) algorithm was chosen. With the ability to locate multisource discharges (even at very low signal-to-noise ratio - SNR), the adopted solution has advantages over conventional techniques.
    Źródło:
    Computer Applications in Electrical Engineering; 2014, 12; 237-245
    1508-4248
    Pojawia się w:
    Computer Applications in Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Microphone Based Acoustic Vector Sensor for Direction Finding with Bias Removal
    Autorzy:
    Wajid, Mohd
    Kumar, Arun
    Bahl, Rajendar
    Powiązania:
    https://bibliotekanauki.pl/articles/2141636.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    acoustic measurements
    acoustic sensor
    acoustic vector sensor
    direction-of-arrival estimation
    finite element analysis
    microphones
    particle velocity
    sound source localization
    Opis:
    The acoustic vector sensor (AVS) is used to measure the acoustic intensity, which gives the direction-of-arrival (DOA) of an acoustic source. However, while estimating the DOA from the measured acoustic intensity the finite microphone separation (d) in a practical AVS causes angular bias. Also, in the presence of noise there exists a trade off between the bias (strictly increasing function of d) and variance (strictly decreasing function of d) of the DOA estimate. In this paper, we propose a novel method for mitigating the angular bias caused due to finite microphone separation in an AVS. We have reduced the variance by increasing the microphone separation and then removed the bias with the proposed bias model. Our approach employs the finite element method (FEM) and curves fitting to model the angular bias in terms of microphone separations and frequency of a narrowband signal. Further, the bias correction algorithm based on the intensity spectrum has been proposed to improve the DOA estimation accuracy of a broadband signal. Simulation results demonstrate that the proposed bias correction scheme significantly reduces the angular bias and improves the root mean square angular error (RMSAE) in the presence of noise. Experiments have been performed in an acoustic full anechoic room to corroborate the effect of microphone separation on DOA estimation and the efficacy of the bias correction method.
    Źródło:
    Archives of Acoustics; 2022, 47, 2; 151-167
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    High-resolution Direction of Arrival Estimation Method Based on Sparse Arrays with Minimum Number of Elements
    Autorzy:
    Mohammed, Jafar Ramadhan
    Powiązania:
    https://bibliotekanauki.pl/articles/1839475.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    compressed sensing
    direction of arrival
    DOA
    estimation
    sparse array
    Opis:
    Regular fully filled antenna arrays have been widely used in direction of arrival (DOA) estimation. However, practical implementation of these arrays is rather complex and their resolutions are limited to the beamwidth of the array pattern. Therefore, higher resolution and simpler methods are desirable. In this paper, the compressed sensing method is first applied to an initial fully filled array to randomly select the most prominent and effective elements which are used to form the sparse array. To keep the dimension of the sparse array equal to that of the fully filled array, the first and the last elements were excluded from the sparseness process. In addition, some constraints on the sparse spectrum are applied to increase estimation accuracy. The optimization problem is then solved iteratively using the iterative reweighted l1 norm. Finally, a simple searching algorithm is used to detect peaks in the spectrum solution that correspond to the directions of the arriving signals. Compared with the existing scanned beam methods, such as the minimum variance distortionless response (MVDR) technique, and with subspace approaches, such as multiple signal classification (MUSIC) and ESPIRT algorithms, the proposed sparse array method offers better performance even with a lower number of array elements and in severely noisy environments. Effectiveness of the proposed sparse array method is verified via computer simulations.
    Źródło:
    Journal of Telecommunications and Information Technology; 2021, 1; 8-14
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    High-resolution Direction of Arrival Estimation Method Based on Sparse Arrays with Minimum Number of Elements
    Autorzy:
    Mohammed, Jafar Ramadhan
    Powiązania:
    https://bibliotekanauki.pl/articles/1839489.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    compressed sensing
    direction of arrival
    DOA
    estimation
    sparse array
    Opis:
    Regular fully filled antenna arrays have been widely used in direction of arrival (DOA) estimation. However, practical implementation of these arrays is rather complex and their resolutions are limited to the beamwidth of the array pattern. Therefore, higher resolution and simpler methods are desirable. In this paper, the compressed sensing method is first applied to an initial fully filled array to randomly select the most prominent and effective elements which are used to form the sparse array. To keep the dimension of the sparse array equal to that of the fully filled array, the first and the last elements were excluded from the sparseness process. In addition, some constraints on the sparse spectrum are applied to increase estimation accuracy. The optimization problem is then solved iteratively using the iterative reweighted l1 norm. Finally, a simple searching algorithm is used to detect peaks in the spectrum solution that correspond to the directions of the arriving signals. Compared with the existing scanned beam methods, such as the minimum variance distortionless response (MVDR) technique, and with subspace approaches, such as multiple signal classification (MUSIC) and ESPIRT algorithms, the proposed sparse array method offers better performance even with a lower number of array elements and in severely noisy environments. Effectiveness of the proposed sparse array method is verified via computer simulations.
    Źródło:
    Journal of Telecommunications and Information Technology; 2021, 1; 8-14
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimation of wind parameters on flying objects
    Estymacja parametrów wiatru na obiektach latających
    Autorzy:
    Dąbrowski, W.
    Popowski, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/276654.pdf
    Data publikacji:
    2013
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    pomiary
    estymacja
    prędkość i kierunek wiatru
    prędkość względem powietrza
    kurs
    kąt drogi
    prędkość podróżna
    measurement
    estimation
    wind speed and direction
    airspeed
    heading
    track over Ground
    route speed
    Opis:
    W artykule przedstawiono propozycję pomiaru i estymacji parametrów wiatru na dowolnym obiekcie latającym. W systemie tym wykorzystano trzy źródła informacji: pomiar kursu (układ kursowy lub układ odniesienia pionu i kierunku AHRS), pomiar prędkości względem powietrza (prędkościomierz ciśnieniowy) oraz pomiar kąta drogi i prędkości podróżnej za pomocą odbiornika GPS. Weryfikacja podanego rozwiązania została przeprowadzona w oparciu o wykonane w trybie off-line obliczenia na podstawie danych z lotu samolotu PZL M-20 Mewa oraz na podstawie przeprowadzonej analizy błędów.
    The article presents proposal of wind parameters measurement and estimation on any flying object board. This system uses three sources of information: heading measurement (heading system or attitude heading reference system, AHRS), measurement of speed relative to air (pressure speedometer), estimation of track over Ground and route speed by means of GPS receiver. Verification of the presented solution was carried out based on oa-line calculations using data logged on-board of PLZ M-20 Mewa airplane as well as on the results of error analysis.
    Źródło:
    Pomiary Automatyka Robotyka; 2013, 17, 2; 552-557
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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