An indoor positioning technology based on GA-BP Neural Network

With the development of wireless positioning technologies, indoor positioning technologies are getting more and more noticeable. RFID positioning technology reaches the goal of recognizing and positioning by using radio frequency to transmit data through non-contact two-way communication. This technology has the advantages of long transmission effective range, low-cost, non-contact, non-line-of-sight and so on. Using the technology, a GA-BP Neural Network based indoor positioning algorithm is proposed in this thesis, series of tests to it in practical setting are also carried out. The result shows that the algorithm can solve the problems caused by the complication and variation of indoor environment at a certain degree.