Temat: Localization - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Focusing Operators and Tracking Moving Wideband Sources
Autorzy:: Frikel, M.
Safi, S.
Khmou, Y.
Powiązania:: https://bibliotekanauki.pl/articles/309477.pdf
Data publikacji:: 2016
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: DoA
localization
tracking
wideband signal
Opis:: In this paper, the localization of wideband source with an algorithm to track a moving source is investigated. To locate the wideband source, the estimation of two directions of arrival (DOA) of this source from two different arrays of sensors is used, and then, a recursive algorithm is applied to predict the moving source’s position. The DOA is estimated by coherent subspace methods, which use the focusing operators. Practical methods of the estimation of the coherent signal subspace are given and compared. Once the initial position is estimated, an algorithm of tracking the moving source is presented to predict its trajectory.
Źródło:: Journal of Telecommunications and Information Technology; 2016, 4; 53-59
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Performance Comparison of Several Algorithms for Localization of Wideband Sources
Autorzy:: Ougraz, Hassan
Safi, Said
Boumezzough, Ahmed
Frikel, Miloud
Powiązania:: https://bibliotekanauki.pl/articles/24200743.pdf
Data publikacji:: 2023
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: coherent
DOA estimation
incoherent
localization
wideband sources
Opis:: In recent years, researchers have tried to estimate the direction-of-arrival (DOA) of wideband sources and several novel techniques have been proposed. In this paper, we compare six algorithms for calculating the DOA of broadband signals, namely coherent subspace signal method (CSSM), two-sided correlation transformation (TCT), incoherent multiple signal classification (IMUSIC), test of orthogonality of frequency subspaces (TOFS), test of orthogonality of projected subspaces (TOPS), and squared TOPS (S-TOPS). The comparison is made through computer simulations for different parameters, such as signal-to-noise ratio (SNR), in order to establish the efficiency and performance of the discussed methods in noisy environments. CSSM and TCT require initial values, but the remaining approaches do not need any preprocessing.
Źródło:: Journal of Telecommunications and Information Technology; 2023, 3; 21--29
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Probes for fault localization in computer networks
Autorzy:: Traczyk, W.
Powiązania:: https://bibliotekanauki.pl/articles/308948.pdf
Data publikacji:: 2004
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: fault localization
probes
computer networks
partitions
logic design
Opis:: Fault localization is a process of isolating faults responsible for the observable malfunctioning of the managed system. This paper reviews some existing approaches of this process and improves one of described techniques - the probing. Probes are test transactions that can be actively selected and sent through the network. Suggested innovations include: mixed (passive and active) probing, partitioning used for probe selection, logical detection of probing results, and adaptive, sequential probing.
Źródło:: Journal of Telecommunications and Information Technology; 2004, 3; 23-27
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Multiobjective Approach to Localization in Wireless Sensor Networks
Autorzy:: Marks, M.
Niewiadomska-Szynkiewicz, E.
Powiązania:: https://bibliotekanauki.pl/articles/309060.pdf
Data publikacji:: 2009
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: ad hoc networks
localization
simulated annealing
stochastic optimization
wireless sensor network
Opis:: Wireless sensor network localization is a complex problem that can be solved using different types of methods and algorithms. Nowadays, it is a popular research topic. What becomes obvious is that there are several criteria which are essential when we consider wireless sensor networks. Our objective is to determine accurate estimates of nodes location under the constraints for hardware cost, energy consumption and computation capabilities. In this paper the application of stochastic optimization for performing localization of nodes is discussed. We describe two phase scheme that uses a combination of the trilateration method, along with the simulated annealing optimization algorithm. We investigate two variants of our technique, i.e., centralized and distributed. The attention is paid to the convergence of our algorithm for different network topologies and trade-off between its efficiency and localization accuracy.
Źródło:: Journal of Telecommunications and Information Technology; 2009, 3; 59-67
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Localization in Wireless Sensor Networks Using Heuristic Optimization Techniques
Autorzy:: Niewiadomska-Szynkiewicz, E.
Marks, M.
Kamola, M.
Powiązania:: https://bibliotekanauki.pl/articles/308429.pdf
Data publikacji:: 2011
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: evolutionary strategy
genetic algorithm
localization
location systems
nonconvex optimization
simulated annealing
wireless sensor network
Opis:: Many applications of wireless sensor networks (WSN) require information about the geographic location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self-organize to perform sensing and acting task. The goal of localization is to assign geographic coordinates to each device with unknown position in the deployment area. Recently, the popular strategy is to apply optimization algorithms to solve the localization problem. In this paper, we address issues associated with the application of heuristic techniques to accurate localization of nodes in a WSN system. We survey and discuss the location systems based on simulated annealing, genetic algorithms and evolutionary strategies. Finally, we describe and evaluate our methods that combine trilateration and heuristic optimization.
Źródło:: Journal of Telecommunications and Information Technology; 2011, 4; 55-64
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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