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The Information from the sensors and resources which are available to the commander are important during his decision-making process. An important parameter of this information is their quality. This article describes the approach to processed signals using information entropy as a parameter for evaluating the quality of information. Initial precondition for applying the information entropy model, the individual optimization strategies are used in 2D and 3D space. In the previous work, we dealt with sensors which were capable to scan without measuring error. In this publication, we are dealing with the simulation of sensors dislocation which is affected by the same measurement error or different error for each individual sensor. Lastly, the thesis for possible future studies can be found at the end of this article. [ABSTRACT FROM AUTHOR]

The paper continues in the previous study, in which the model of the dislocation of sensors in 2D and 3D area was mathematically expressed. In addition, the theoretical assumptions of the individual optimization strategies in 2D area were simulated. The main goal of the work is to verify the optimization strategies in 3D area by simulation and based on the results to determine initial assumptions for application of the probability model and the model of maximal entropy. The conclusion of the paper contains an example of thesis for possible future studies. [ABSTRACT FROM AUTHOR]

The following paper describes the possibilities of UAV (Unmanned Aerial Vehicles) employment where the radar sensors are part of it in the area of NEC (Network enabled capability) in armed forces domain. The main task is to discover the methodology of how to disseminate each individual UAV in 2D and 3D area in order to achieve the best estimate of target position. Each individual optimization strategy is proven by simulation in Matlab and based on the mathematical concept expressing the sensor matrix layout. [ABSTRACT FROM AUTHOR]