Abstract
Abstract: As the demand for indoor Location-Based Services (LBSs) increases, there is an increasing interest in improving an accurate indoor positioning and tracking system on moving user nodes. One of the most important problems in locating objects in indoor environments is the location accuracy. A location can be calculated by collecting and analyzing data on signal strength, time of arrival, time difference of arrival, or angle of arrival. These data are subject to measurement noise and they are sensitive to the medium circumstances. These circumstances produce location error and then the estimation will be inaccurate. There are a lot of techniques to improve the location estimation, which it was received by any existing localization algorithm; one of these approaches is the approach which uses mathematics for accuracy improving. This paper submits a mathematical technique to improve the positioning accuracy using distance and speed factors. This technique uses the relationship of the distance between mobile objects moving together, and the relationship of the distance between locations of the moving object at different times.