Optical EngineeringUsing future position restriction rules for stabilizing the results of a noise-sensitive indoor localization system
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The testing and evaluation of a low cost system capable of estimating the position of a moving target within an extendible indoor area with low error is presented. Based on a recently developed system architecture, which makes use of a noise-sensitive indoor localization system made up of ir sensors, the position estimation error is based on comparing the number of the digital ir patterns received at the moving target with the expected one. To overcome the problem of instant noise that appears despite the effective system shielding, we employ a number of rules that take into consideration the previous position estimations. These rules are based on the fact that the speed of the target is always limited and its track is smooth most of the time. The test for the rules was made by running a series of experiments on the sensors system, and as a result, we verified that the maximum absolute error in the experimental results is approximately equal to the grid node distance. Moreover, the noise restrictions of the system were tested and recognized, allowing direct measurement of relevant parameters.