Abstract
Designing a localization system for an indoor environment faces more challenges because of multipath and interference problems. In this field, the most important techniques used for such environment, are RSS and ToA which need to be improved especially from more interference because of the huge multipath problems. In this paper, a case study of a selected building is chosen in order to apply the proposed technique of this research. Such proposal is based on the PT of the area in the case study into MZ. Each zone is allocated special values for the parameters used to estimate the target positions. WI package is used to simulate the case study area and apply such proposal based on RSS and ToA. The results confirm that the estimated locations are close to the real locations by the average error of (2.8) meter and (0.192) meter for ToA corresponding one zone and four zones respectively. In contrast, the results of our experiment show that the accuracy is improved from an average error of (2.4) meter and (0.217) meter for RSS corresponding one zone and four zones respectively. Such results confirm that dividing the case study area into more zones leads to more accuracy.
Highlights
Indoor localization gains attention and is a common topic for researchers recently to find the person and the other object
During this state of affairs, indoor localization systems square measure is accustomed to estimate the position in any space that GPS does not work
The three transmitters were installed in the specified locations and using WI software, RSS, and ToA metrics were measured using equations (5) and (6) for RSS and ToA respectively
Summary
Indoor localization gains attention and is a common topic for researchers recently to find the person and the other object. GPS is convenient in outside environments and their square measure is constrained and limited, which leads to obscured GPS service just like the position within high buildings [1, 2]. During this state of affairs, indoor localization systems square measure is accustomed to estimate the position in any space that GPS does not work. Time synchronization and time measure square measure are common issues in inferring location victimization ToA [12] To deal with those issues, several researchers projected many techniques and algorithms like [13], whose projected NLOS identification technique to alleviate the impact of multipath.
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