Indoor positioning tracking method based on channel classification and system thereof

Abstract

The invention provides an indoor positioning tracking method based on channel classification and a system thereof. The method comprises the following steps of 1, solving the position of a one-order imaginary anchor node according to an architectural plan and the position of an anchor node, wherein the anchor node has a known position, and the one-order imaginary anchor node is a mirror symmetry node, which corresponds with the wall surface, of the anchor node; 2, according to a step 4 of a previous process, recording information of three reflecting paths with strongest energies, and if no step 4 of the previous process exists, performing no recording; 3, performing channel classification according to channel pulse response, and determining whether a line-of-sight path exists between the anchor node and a to-be-positioned node; and 4, selecting a plurality of reflecting paths according to the number of line-of-sight paths, and performing positioning according to the lien-of-sight paths.

Description

technical field [0001] The present invention relates to a channel classification method and an indoor positioning algorithm, in particular to an indoor positioning and tracking method and system based on channel classification. Background technique [0002] With the commercialization of outdoor positioning technology based on global positioning system, Beidou satellite navigation system, GLONASS satellite navigation system and Galileo satellite positioning system, high-precision indoor positioning technology has attracted more and more attention. The existing indoor positioning technology is divided into two categories: the indoor positioning technology not based on ranging and the indoor positioning technology based on ranging. The indoor positioning technology not based on ranging is represented by WIFI, and positioning is performed by measuring the received signal strength indication of the signal, which has the advantage of being widely applicable, but the positioning ac...

AI Technical Summary

Problems solved by technology

However, the ranging error caused by non-line-of-sight propagation is still the main difficulty faced by ranging-based indoor positioning technology

[0004] After searching the literature of the existing technology, it was found that the traditional non-line-of-sight propagation identification method only divides the channel into line-of-sight and non-line-of-sight situations. Networking Conference) published the article "Convex Hull based NodeSelection NLoS mitigation for Indoor Localization" (2016 at the IEEE Wireless Communication and Network Conference, "Node Selection Based on Convex Shaped Indoor Positioning NLoS Mitigation"), and proposed the channel Four cases should be distinguished: common line-of-sight case, attenuated line-of-sight case, common non-line-of-sight case and troublesome non-line-of-sight case, however, no suitable classification method is given

E.Leitinger, P.Meissner, C.Rudisser, G.Dumphart and K.Witrisal published "Evaluation of position-related information in multipath components for indoor positioning" in IEEE journal on selected areas in communications in 2015 (2015 in IEEE Communication Selected Area Magazine, "Evaluation of Position-Related Information in Multipath Parameters for Indoor Positioning") article, proposed a positioning method combining virtual anchor nodes and multi-path parameters, which can be positioned in non-line-of-sight situations, reducing Due to the positioning error caused by non-line-of-sight propagation, however, this method relies on the accuracy of the one-to-one correspondence between the virtual anchor node and the signal reflection path, and positioning errors will be introduced when the virtual anchor node and the signal reflection path are in error.

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