Wireless Indoor Positioning

Wireless positioning using radio signals has received considerable attention in the field of navigation and tracking. However, the existing navigation systems that are based on satellites cannot provide accurate position estimation in urban and indoor environments due to shadowing and various sources of noise and interference. As a result, the wireless indoor positioning is emerging as a new important research area, its services will be widely used in the future. In this work, an effective wireless indoor positioning has been developed based on the opportune signals of IEEE 802.11 standards. The problem of highly resolving the propagation time delays, the relative direction of arrivals, and the relative amplitudes of multipath signals has been addressed for a high-resolution wireless positioning system. The developed algorithms use a very efficient computational methodology for real time implementation. In addition, non-iterative weighted least square estimators are presented to estimate the mobile unit coordinates based on the estimated observations. The problem of obstruction of the direct path due to the harsh nature of indoor environments has also been investigated.