Analysis of RFID Indoor Positioning Algorithms

In the analysis of RFID indoor positioning algorithms, we will discuss the following algorithms: LANDMARC, VIRE, and BVIRE with boundary virtual reference tags. These algorithms are designed to achieve indoor positioning by leveraging RFID technology to accurately determine object locations within indoor environments. During our analysis, we will thoroughly examine each algorithm's principles, advantages and disadvantages, and applicable scenarios. The LANDMARC algorithm typically uses k-nearest neighbors (k-NN) matching with reference tags, where signal strength patterns are compared between target and reference tags. VIRE employs virtual reference tags to improve spatial resolution, often implemented through interpolation methods between physical reference points. BVIRE enhances this approach by specifically addressing boundary areas through virtual tag placement optimization. We will explore key implementation considerations such as signal strength calibration methods, coordinate calculation approaches, and computational efficiency to help readers better understand and apply these algorithms in practical systems.