Indoor wireless positioning method based on channel state information and wireless communication system

Abstract

The invention belongs to the technical field of wireless communication, and discloses an indoor wireless positioning method based on channel state information and a wireless communication system. Themethod comprises the steps: realizing an indoor wireless positioning system irrelevant to equipment by using a WIFI environment, and removing static path components by using an algorithm of conjugatemultiplication between antennas; providing positioning parameters by combining distribution characteristics of the positioning parameters and positioning calculation based on a weight reflection pathidentification algorithm; and fusing a result of joint AOA positioning of the plurality of wireless access nodes with a result of single base station ranging coarse positioning. According to the invention, a reflection path identification mechanism is utilized to cope with the influence of an indoor dynamic multipath environment on a positioning result; meanwhile, the parameters required for positioning are estimated based on the MUSIC algorithm, and the step of offline data collection training for fingerprint positioning in the prior art is omitted, so the method is more flexible and suitablefor different environments, and the performance and precision of the positioning system are further improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an indoor wireless positioning method and a wireless communication system based on channel state information. Background technique [0002] At present, the closest existing technology: With the rapid promotion of the Internet of Things technology and the active development of the fifth-generation 5G mobile communication technology application, it brings not only high-speed experience, but also its ubiquitous network characteristics, that is, in various There is a network in every corner, which prompts people to increase their demand for adaptive environment perception in various scenarios, and their performance requirements are also gradually improved. The application scenarios of various wireless sensor networks have gradually expanded from the initial military field to human-computer interaction, security monitoring, logistics supervision, new medical...

AI Technical Summary

Problems solved by technology

Different from the outdoor environment, the indoor environment faces more problems: 1) Compared with the outdoor environment, the multipath propagation environment is more complex; 2) The indoor environmental noise cannot be ignored, and the channel is highly dynamic; 3) The indoor sensing area Small, requiring finer-grained perceptual accuracy

However, in the actual environment, the fingerprint database needs to be continuously updated as the environment changes at any time. When the area to be positioned is large, the update of the fingerprint database requires a lot of collection work, which takes up a lot of time and greatly improves the positioning system. the complexity

The main problems faced by the method based on geometric analysis are: 1) The indoor environment is complex, the signal propagation is easily blocked by various obstacles and noise interference, and it is impossible to establish a specific attenuation model for signal propagation. environment, it is even more difficult to correct the distance model in real time, and the distance model is only suitable for indoor positioning systems based on equipment; It is very difficult. In the traditional equipment-based indoor positioning system, what needs to be solved is the problem of direct-sight path recognition, while for the passive positioning system, it is necessary to obtain the parameter estimation results corresponding to the target reflection path from multiple signal propagation paths; 3) For the available multiple positioning parameters, how to integrate them to obtain a more reliable positioning result than a single positioning method

[0004] To sum up, the problems existing in the existing technology are: the current indoor positioning technology has low positioning accuracy and poor practicability

[0005] The difficulty of solving the above technical problems: how to deal with the environmental noise and multipath effects brought about by the highly dynamic indoor environment; the positioning accuracy of a single positioning method is limited by the deployment of system anchor nodes

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