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Multi-area adaptive indoor positioning method based on RSSI ranging improvement

An indoor positioning and self-adaptive technology, which can be used in services based on location information, services based on specific environments, measuring devices, etc., and can solve problems such as poor indoor positioning accuracy.

Inactive Publication Date: 2018-03-13
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0005] The purpose of the present invention is to provide an improved multi-region adaptive indoor positioning method based on RSSI ranging, which solves the problem of poor indoor positioning accuracy caused by the excessive dependence of the indoor positioning method on the external environment in the prior art

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  • Multi-area adaptive indoor positioning method based on RSSI ranging improvement
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  • Multi-area adaptive indoor positioning method based on RSSI ranging improvement

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Embodiment Construction

[0070] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0071] An improved multi-area adaptive indoor positioning method based on RSSI ranging of the present invention, the flow chart is as follows figure 2 shown, follow the steps below:

[0072] Step 1: Divide the target area into multiple sub-area environments according to the indoor structural characteristics, and build a Shadowing extension model based on the environment parameter library, which is implemented according to the following steps:

[0073] Step (1.1), the positioning coverage area is divided according to the target area structure to form n sub-regions, and the positioning coverage area is represented by A, then A={a 1 , a 2 , a 3 , …, a n};

[0074] Step (1.2), set each sub-region a i In the same environment, where i=1, 2, ..., n, according to the Shadowing model, each a i Path loss exponent n corresponding to other regions ...

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Abstract

The invention discloses a multi-area adaptive indoor positioning method based on RSSI ranging improvement. The method comprises the steps that firstly, a target area is partitioned into multiple subarea environments according to the characteristic of the indoor structure, and a Shadowing extended model based on an environment parameter library is constructed; a hardware system structure matched with the Shadowing extended model is designed; updating of the environment parameter library is achieved with the help of the Shadowing extended model and the hardware system structure, and in the process, RSSI values received at a reference distance are filtered through a Kalman filtering algorithm, and the environment parameter library is updated in a timing mode; and finally, position estimationis conducted through maximum likelihood estimation. According to the method, the problem that in the prior art, due to the fact that an indoor positioning method depends on the external environment overly, the indoor positioning precision is poor is solved.

Description

technical field [0001] The invention belongs to the technical field of indoor positioning, and in particular relates to an improved multi-area adaptive indoor positioning method based on RSSI ranging. Background technique [0002] Indoor positioning refers to the realization of position positioning in the indoor environment. It mainly uses wireless communication, base station positioning, inertial navigation positioning and other technologies to integrate to form a set of indoor position positioning system, so as to realize the position monitoring of people and objects in indoor space. The purpose is to solve the problem that satellite signals are weak and cannot penetrate buildings when they reach the ground. With the increasing development of mobile Internet technology, indoor positioning has become more and more practical and necessary in some specific occasions (such as shopping malls, museums, exhibition halls, airports, etc.), and its application prospects are broad. ...

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Application Information

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IPC IPC(8): H04W4/02H04W4/33H04W64/00G01S11/06
Inventor 邵景峰王蕊超白晓波马创涛
Owner XI'AN POLYTECHNIC UNIVERSITY
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