A method for distinguishing between indoor and outdoor in wireless network

Abstract

A method for distinguishing indoors and outdoors in a wireless network, comprising: S1 placing a wireless access point in a room, collecting channel impulse responses of clients indoors and outdoors; and establishing an indoor training set and an outdoor training set; S2 through the client The difference between the indoor channel impulse response and the outdoor channel impulse response determines whether the client is indoors or outdoors. A scheme framework for distinguishing indoors and outdoors in the WiFi environment is given, and the indoors and outdoors are distinguished according to the channel impulse response information of the wireless channel. On the basis of this framework, two methods for distinguishing indoors and outdoors are proposed: the method based on T test And a method based on linear discriminant analysis; this method is very efficient: it only takes 10 seconds to collect training data at the fastest, and it can determine whether the device is indoors or outdoors within 1 second.

Description

technical field [0001] The invention discloses a method for distinguishing indoors and outdoors in a wireless network. Background technique [0002] In a wireless network, distinguishing between indoors and outdoors means that for a specific room, it can be determined whether the mobile device or the person carrying the mobile device is located inside or outside the room. Compared with indoor positioning, indoor and outdoor discrimination only needs to know whether the device is in a certain room, but does not need to know the precise location of the device. Recently, researchers have conducted research on the boundary distinction between adjacent rooms indoors. Using WiFi signals, it is possible to determine which of the adjacent rooms a mobile device is located in. The distinction between indoor and outdoor is a problem of judging whether the device is in a specified room. Therefore, the distinction between indoor and outdoor is a relatively rough indoor positioning. ...

AI Technical Summary

Problems solved by technology

Although the existing indoor positioning technology has relatively high positioning accuracy, it has two problems in solving the problem of distinguishing between inside and outside of the room: 1) High misjudgment rate

The minimum error of the positioning technology based on channel frequency response (CFR) is about 1 meter, and when dealing with the inner and outer boundaries of the room, there will be a large deviation

2) Method execution efficiency is low

But it also has the following problems when it solves the problem of indoor and outdoor distinction: 1) It also needs to collect a lot of location information during the training phase

If there are multiple adjacent rooms in one room, the workload of data collection is very large

2) The influence of many factors on the solution is not considered, such as: room size and the interference of people around the mobile device, etc., but research shows that these factors, especially the interference of people around the device, will have a greater impact on the WiFi signal

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