Research on indoor positioning algorithm based on powerline

In this research, the basic principle of data acquisition based on powerline is introduced. Probabilistic neural network (PNN) is applied to indoor location system aiming at environment of strong noise indoor and the reason of PNN applied to indoor location system based on powerline is discussed in detail. According to characteristics of transmitted signal by powerline, the signal is firstly pretreated and then transformed by Fast Fourier Transform (FFT) before it is transmitted to PNN algorithm in order to effectively extract position information included in data by PNN. The test shows that network training speed of PNN is fast, it has a strong ability to resist interference, with having good indoor positioning accuracy and PNN is much better than K-Nearest Neighbor (KNN) and Counter Propagation Network (CPN) indoor positioning algorithm in indoor position system based on powerline.