Object localization using intended signal blocking in passive UHF Far-Field systems

Location sensing of physical objects is critical in many applications. Passive UHF Far-Field Radio Frequency Identification (RFID) technique provides an efficient solution due to its cost efficiency and simple identification procedure. In this paper we study the localization problem using passive UHF RFID systems under multi-reader and antenna conditions. We discuss practical characteristics of a passive UHF RFID system. We propose novel algorithms to minimize the number of ambiguous tag points against a single RSSI value from a target tag and increase accuracy of location estimation in 2D grid space. According to the analysis of our experiment results, our proposed approach shows maximum 49.8% improvement compared with the conventional k-Nearest Neighbor algorithm in a test frame.