A Wireless LAN-Based Indoor Positioning System using Neural Network

  • Muttitanon W.


Many positioning systems designed to determine or track a user’s location have been proposed many years. There are three categories: global location systems, wide-area location systems based on cellular networks and indoor location system. Global position system (GPS) receives signals from multiple satellites and employs a triangulation process to determine physical location. The limitation is inefficient for indoor use or in urban areas where high building shield the satellite signals. Wide-area location systems based on cellular involves measuring the signal strength, the angle of signal arrival and/or the time difference of signal arrive and is highly limited by the cell size. Several approaches have been proposed for indoor location sensing; such as infrared sensing, radio frequency, ultrasonic, and scene capture analysis. Each of these methods has their own advantages and disadvantages. Some are expensive to implement, while others are not very accurate. A wireless local-area network (WLAN) based positioning system has distinct advantages over all other system. Due to it is an economical solution because the WLAN network usually exists already as part of the communications infrastructure. Notebook computers, personal digital assistants (PDA), or the other mobile device equipped with WLAN capability, the position system can be implemented in software. The WLAN is covered the large area compared with other types of indoor positioning systems. The system used an underlying wireless data network, such as the IEEE 802.11 wireless network, to estimate user location has gained attention recently, for indoor applications and do not require additional hardware for user location determination.