WLAN indoor positioning method for neural network regional training

Abstract

The invention discloses a WLAN indoor positioning method for neural network regional training, which relates to the field of indoor positioning. The invention solves the problems great positioning error and redundant cost caused by irregular geographic environment in the existing indoor neural network positioning method. The method is realized in a way that: setting access points (AP) according to the indoor environment; setting reference points in the indoor environment; determining two APs having the greatest influence on the reference point positioning information according to the amplitude of the signal intensity RSS value of each reference point; obtaining a regional training sample set of the neural network according to the adjustment factor mu, thereby training the neural network according to the regional training sample set and obtaining a satisfactory neural network architecture; and finally, importing the signal intensity RSS value of the point to be detected into the neural network architecture, thereby obtaining the positioning coordinates of the point to be detected. The method of the invention is used for positioning in a complex system.

Description

technical field The invention relates to the field of indoor positioning, in particular to a WLAN indoor positioning method for neural network area training. Background technique At present, with the development of wireless networks, many technologies and applications related to indoor positioning have emerged, especially in the application of environmental awareness. Due to the dynamic nature of the environment, complex multipath effects and severe signal attenuation, traditional signal propagation The model method is not suitable for high-precision indoor positioning systems. Since the indoor positioning system based on WLAN (Wireless Local Area Network) technology is not only low in cost, but also can use the registration-free 2.4GHz ISM frequency band and the free wireless license 802.11b / g protocol, it has been paid much attention. In the WLAN environment, the corresponding location information is obtained by measuring the signal strength RSS value from the access poi...

AI Technical Summary

Problems solved by technology

In order to solve the problems of large positioning error and large redundant overhead caused by the irregular geographical environment in the existing indoor neural network positioning method, the present invention provides a WLAN indoor positioning method for neural network area training

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