Description

As the wireless technologies develop further, many useful and promising applications have been brought into our daily life. In recent years, location and positioning (L&P) based services are among the most promising applications which provided great convenience to users. For instance, by knowing a mobile station (MS) position many new applications often called as Location Based Services (LBS) can be enabled. These include, but not limited to tracking, location sensitive billing, and public safety and enhanced emergency services, monitoring, and etc. Location aware services are becoming attractive with the deployment of next generation wireless networks and broadband multimedia wireless networks especially in indoor and campus areas. To provide location aware services, obtaining the position of a user accurately is important. In the existing system, several techniques are proposed in to estimate PLE based on known probability distribution of inter-sensor distances, Cayley-Menger determinant, and pattern matching in wireless sensor networks. In this project the system proposed the RSS-based distance and location estimation (RDLE) algorithm is proposed for mixed line-of -sight (LOS )/ non -li ne- of-sight (NLOS) in LTE cellular networks. The geometry-improved location estimation (GILE) algorithm is proposed to explore geometric relationships between base stations (BSs) and mobile station (MS). A geometric constraint based on range differences which is related to time-difference-of-arrival (TDOA) information is constructed to confine MS’s location estimation within a specific closed region. It can mathematically provide an extra measurement to improve the signal insufficiency problem.