Indoor position fingerprint map generation method and system based on adversarial migration network

Abstract

The invention discloses an indoor position fingerprint map generation method and system based on an adversarial migration network, and the method comprises the steps: collecting WIFI position fingerprint data in a source domain indoor environment, dividing a data collection region into grids, and collecting the WIFI signal intensity in each grid; when the position fingerprint data in the indoor environment of the target domain are collected, randomly and uniformly selecting a control point grid set with a preset percentage, collecting the WIFI signal intensity of control points, and recordingthe serial number of each grid; training an anti-migration network model, setting, initializing and training a first classifier, a second classifier, a first generator, a second generator and a discriminator, and outputting a loss function value of the discriminator; and continuously optimizing the anti-migration network model until the generated WIFI position fingerprint data meets the positioning precision requirement. The WIFI position fingerprint data of the target domain are generated through migration of the WIFI position fingerprint data of the source domain, and accurate positioning ofthe indoor environment is achieved.

Description

technical field [0001] The present invention relates to the technical field of indoor positioning, in particular to a method, system, device and storage medium for generating an indoor location fingerprint map based on an adversarial migration network. Background technique [0002] With the rapid development of mobile sensors and Wireless Local Area Network (WLAN), indoor wireless sensory positioning technology has received more and more attention. Commonly used indoor wireless sensing positioning methods include: positioning based on radio wave arrival time or arrival time difference, positioning based on radio wave arrival angle, positioning based on the strength of radio wave arrival signal, location fingerprint positioning based on signal strength, etc. Among them, the positioning method based on the time of arrival, time difference of arrival, angle of arrival, and arrival signal strength of radio waves is constrained by signal transmitting equipment and the environment...

AI Technical Summary

Problems solved by technology

However, this method must collect more location fingerprint data in the new environment to calculate an accurate similarity transformation matrix, which will lead to a large workload of data collection and slow data processing speed.

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