Attenuation Field Estimation Using Radio Tomography in the different system Models

Abstract

This study presents a difference between the circle and square model of the RTI system in the monitoring area for localization. the formation of human localization and its uses, detection, monitoring, and quality determination, as the concerns of this research are to detect human and employ an efficient method to monitor and quantify the many objects in a zone by using different systems models which are the circle and square model. Tomographic imaging techniques have been selected as meeting the requirement to be harmless, non-invasive, non-destructive, and capable of visualizing the object inside the monitoring area. A comparison among the frequencies is done for the different algorithms and it is found that the Gaussian algorithm has the highest value overall for both the circle and square system model. MSSIM shows that the difference in the reading the highest of the circle model was 0.791 using the Gaussian algorithm and the highest of the square model was 0.81 using the Gaussian algorithm.