Location Determination Method for Wireless Systems Based on Learning Vector Quantization

摘要

In future ubiquitous services, object location determination will be a key technology. We describe a location determination method based on signal intensity using signals sent from base stations located at known positions to a terminal located at an unknown position. Instead of using numerical coordinates to define the object's location, it determines the object's location using a name that describes its locality. This method is based on learning vector quantization (LVQ) algorithms. We tested it using a 802.11 wireless LAN (local area network) and RHD (radio frequency identification) tag systems. The results show that it provides more accurate location data than the conventional least-squares method in areas far from the base stations.