Multi-floor indoor positioning method based on Softmax regression multi-classification recognizer

An indoor positioning, multi-floor technology, applied in positioning, character and pattern recognition, instruments and other directions, can solve the problems of low floor determination accuracy, complex movement mode, increased computational complexity, etc., to reduce storage and computational overhead, improve Reliability and scalability, the effect of saving storage and computing overhead

Active Publication Date: 2019-11-01
HUNAN UNIV
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Problems solved by technology

However, with the increase of AP (Access Point) and the number of floors, the computational complexity of this method also increases
Second, the built-in barometer of the smartphone can detect the he

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  • Multi-floor indoor positioning method based on Softmax regression multi-classification recognizer
  • Multi-floor indoor positioning method based on Softmax regression multi-classification recognizer
  • Multi-floor indoor positioning method based on Softmax regression multi-classification recognizer

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Embodiment Construction

[0048] The technical solutions in the present invention are clearly and completely described below in combination with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0049] Such as figure 1 As shown, the multi-floor indoor positioning method based on the Softmax regression multi-classification identifier provided by the present invention includes an offline stage and an online stage, and the offline stage includes the following steps:

[0050] Step (1) Establish an RSS fingerprint library: divide the multi-floor indoor area into grids, collect the RSS values ​​of each AP in each grid, and generate an RSS fingerprint library. The specific operatio...

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Abstract

The invention discloses a multi-floor indoor positioning method based on a Softmax regression multi-classification recognizer. The multi-floor indoor positioning method comprises an offline stage andan online stage. The offline stage comprises an offline fingerprint database acquisition stage and an offline multi-floor discrimination classifier construction stage, and the offline fingerprint database acquisition stage establishes an offline RSS fingerprint database by acquiring RSS values of APs sensed by sampling points. In the offline multi-floor discriminant classifier construction stage,a multi-floor discriminant classifier is trained, a cross entropy loss function of the multi-floor discriminant classifier is minimized through a gradient descent algorithm, and an optimal multi-floordiscriminant classifier is constructed by using model parameters corresponding to a minimum cross entropy loss function value. In the online stage, when a to-be-positioned target is positioned, firstly, the probability that the target belongs to each floor is calculated by adopting a multi-floor discrimination classifier, the floor corresponding to the maximum probability is the floor where the to-be-positioned target is located, and then the coordinate position where the to-be-positioned target is located is calculated by utilizing an improved KNN algorithm.

Description

technical field [0001] The invention belongs to the technical field of wireless local area network and indoor positioning, in particular to a multi-floor indoor positioning method based on WiFi and Softmax regression multi-classification identifier. Background technique [0002] The progress of the times has stimulated people's desire for accurate location anytime and anywhere, and in the era of the Internet of Things, this desire has been further intensified. Therefore, the indoor positioning system has penetrated into many aspects of modern life, such as indoor navigation, in-store shopping guide, item tracking and other related activities. In recent years, with the large-scale deployment of wireless communication systems in indoor environments, indoor wireless positioning technology has attracted more and more research interest, and various wireless indoor positioning technologies emerge in an endless stream, such as wireless LAN WiFi, Bluetooth, Sensor networks, ultra-w...

Claims

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Application Information

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IPC IPC(8): H04W64/00H04B17/318G06K9/62G01S5/02
CPCH04W64/006H04B17/318G01S5/02G06F18/24147G06F18/214
Inventor 罗娟王纯章翠君
Owner HUNAN UNIV
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