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Improved MK model and WKNN algorithm combined mixed indoor positioning method

A positioning method and mixing chamber technology, which are used in positioning, measuring devices, instruments, etc., to achieve excellent performance, reduce positioning errors, and improve positioning accuracy.

Active Publication Date: 2016-08-17
SHENZHEN LOONGSON JIANGSU INTELLIGENT TECH CO LTD
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Problems solved by technology

At present, the outdoor positioning technology is relatively mature and can fully meet the positioning requirements; however, the indoor positioning technology cannot meet the growing demand for positioning accuracy of positioning services.

Method used

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  • Improved MK model and WKNN algorithm combined mixed indoor positioning method
  • Improved MK model and WKNN algorithm combined mixed indoor positioning method
  • Improved MK model and WKNN algorithm combined mixed indoor positioning method

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Embodiment Construction

[0038] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0039] The specific application scenario of the present invention is a certain teaching and research room. Participate in the positioning area of ​​about 240 square meters, distributed in three teaching and research rooms, a total of 56 sampling points, 10 sampling points are distributed in the corridor between the teaching and research rooms, separated by hardwood boards, one of the teaching and research rooms and the corridor There are thick splints. The horizontal distance between adjacent sampling points is 2 meters, and the vertical distance is mostly 1 meter. In the early morning, the Xiaomi Mi 2 mobile phone station with a self-developed program installed with the WIFI signal RSS measurement function stood at the sampling point facing the AP to measure RSSI, and each sampling point was sampled at least 30 times. Three APs are placed at designated positions: ...

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Abstract

The present invention discloses an improved MK model and WKNN algorithm combined mixed indoor positioning method. According to the method, an improved MK model is used to establish a signal spread model which is more suitable for a complex indoor environment, a nearest adjacent point is helped to filtered in a positioning state, thus a nearest adjacent point with a large difference does not participate the positioning of a WKNN algorithm, according to the Euclidean distance formula, the distance of each nearest adjacent point to an AP is calculated, the distances are taken as weights to be substituted into the formula of the WKNN algorithm to obtain a final estimated position value.

Description

technical field [0001] The invention relates to a hybrid positioning algorithm combining an improved MK model and a WKNN algorithm in a complex indoor environment, and belongs to the technical field of wireless indoor positioning. Background technique [0002] With the development of wireless communication technology, the demand for location-based services has attracted much attention. At present, the outdoor positioning technology is relatively mature and can fully meet the positioning requirements; however, the indoor positioning technology cannot meet the growing demand for positioning accuracy of positioning services. The most widely used indoor positioning technology is WIFI positioning technology. The positioning principle is: install the WIFI positioning tag on the target object to be tracked, and the positioning tag periodically sends out wireless signals, and the AP (AccessPoint, referred to as: access point) receives After receiving the signal, the signal is trans...

Claims

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Application Information

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IPC IPC(8): G01S5/02
CPCG01S5/0268
Inventor 陆音缪辉辉
Owner SHENZHEN LOONGSON JIANGSU INTELLIGENT TECH CO LTD
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