Indoor Positioning Algorithms Based on Multidimensional Information

With the development of internet, the LBS market will increase fast. Outdoor LBS has been widely used with the support of four satellite navigation system. Indoor positioning technology as an important field of location service has get more and more attention of people. The positioning technology based on wireless network make up for the deficiency of the existing navigation system. With a wide range and low cost of application, the mobile base station signal is of high popularization value in study indoor positioning technology. In this paper, a certain amount of feature points are collected which contains multi-dimensional characteristic information such as Time Difference of Arrival (TDOA) and Received Signal Strength Indication (RSSI) and so on, then make pre-processing of multidimensional positioning information of feature points by signal path division filtering, and then choose specific feature points by matching multidimensional information, these selected points are used to revise positioning information received, and calculate positioning coordinates by Newton iteration method. Meter-level position precision can be reached through the positioning mechanism talked above.