Mr. Miodrag S. Vracar Profile

Miodrag S. Vracar

at Military Technical Institute

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Proceedings Article | 22 May 2013 Paper

Clustering of estimated spatial locations in networked sensors

Ivan Pokrajac, Predrag Okiljevic, Miodrag Vracar

Proceedings Volume 8742, 87420O (2013) https://doi.org/10.1117/12.2018449

KEYWORDS: Expectation maximization algorithms, Sensors, Data fusion, Error analysis, Sensor networks, Statistical analysis, Monte Carlo methods, Telecommunications, Intelligence systems, Computer simulations

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Multisensor data fusion combines data from multiple sensors to overcome interferences that may not be possible from a single sensor or source alone. In military application data fusion can be used to integrate the individual sensor data into common operational picture of the battlefield. However, there is still possibility to improve quality of the individual sensor. Improving of accuracy in estimation of spatial location is investigated in this paper. Some novel methods and algorithms for estimation of spatial location are compared such as Discrete Probability Density (DPD) method, fusion of multiple bearing lines and mean-square distance algorithm. These methods for estimation of spatial location use two-step positioning technique (indirect technique) based on estimation of a specified parameter such as angle of arrival (AOA). In the network where is possible to provide multiple spatial locations from the spatially close sources, clustering of estimated spatial location is very important. The estimated spatial locations that correspond to a source are spatially close to one another will have a larger likelihood than those estimated spatial locations that are not correspond to the source. In this paper methods and algorithms for estimation of spatial location are compared where it is multiple spatial locations, for the same sources spatially close. Clustering has been performed based on estimated spatial locations and appropriates the covariance matrix.

Proceedings Article | 22 May 2013 Paper

River as a part of ground battlefield

Miodrag Vračar, Ivan Pokrajac, Predrag Okiljević

Proceedings Volume 8742, 87420L (2013) https://doi.org/10.1117/12.2018467

KEYWORDS: Acoustics, Wave propagation, Civil engineering, Solids, Microfluidics, Interference (communication), Sensors, Intelligence systems, Wind energy, Signal detection

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The rivers are in some circumstances part of the ground battlefield. Microseisms induced at the riverbed or ground at the river surrounding might be consequence of military activities (military ground transports, explosions, troop’s activities, etc). Vibrations of those fluid-solid structures are modeled in terms of solid displacement and change of fluid pressure. This time varying fluid pressure in river, which originates from ground microseisms, is possible to detect with hydrophones. Therefore, hydroacoustic measurements in rivers enables detecting, identification and localization various types of military noisy activities at the ground as and those, which origin is in the river water (hydrodynamics of water flow, wind, waves, river vessels, etc). In this paper are presented river ambient noise measurements of the three great rivers: the Danube, the Sava and the Tisa, which flows in north part of Serbia in purpose to establish limits in detection of the ground vibrations in relatively wide frequency range from zero to 20 kHz. To confirm statement that the river is a part of ground battlefield, and that hydroacoustic noise is possible to use in detecting and analyzing ground microseisms induced by civil or military activities, some previous collected data of hydroacoustic noise measurement in the rivers are used. The data of the river ambient noise include noise induced by civil engineering activities, that ordinary take place in large cities, noise that produced ships and ambient noise of the river when human activities are significantly reduced. The poly spectral method was used in analysis such events.

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