A fast fingerprint location method based on pq and cnn

A fingerprint positioning and fast technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problem of high time complexity of online positioning, and achieve the effect of reducing positioning time and improving positioning accuracy

Active Publication Date: 2022-07-01
SOUTHEAST UNIV
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  • Summary
  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: In order to overcome the problem that the online positioning time complexity in the existing fingerprint positioning method is too high, the present invention provides a fast fingerprint positioning method based on PQ and CNN, and selects the PQ algorithm or the CNN algorithm according to the size of the fingerprint database. Fast positioning, so as to achieve more efficient and fast online fingerprint positioning

Method used

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  • A fast fingerprint location method based on pq and cnn
  • A fast fingerprint location method based on pq and cnn
  • A fast fingerprint location method based on pq and cnn

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[0029] Below in conjunction with the accompanying drawings and specific embodiments, the present invention will be further clarified. It should be understood that these examples are only used to illustrate the present invention and are not used to limit the scope of the present invention. Modifications in the form of valence all fall within the scope defined by the appended claims of the present application.

[0030] A fast fingerprint localization method based on PQ and CNN, such as figure 1 As shown, the fingerprint positioning method is divided into two stages: offline stage and online stage. In the offline stage, the signal fingerprint of each reference point needs to be collected first, and it is stored in the fingerprint database after preprocessing. When locating the unknown terminal in the online stage, It is necessary to first collect the corresponding fingerprint of the terminal to be tested, and then use the proposed PQ or CNN algorithm to perform fast positioning, ...

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Abstract

The invention discloses a fast fingerprint positioning method based on PQ and CNN. First, an ADCPM fingerprint matrix for subsequent fingerprint matching is designed. When the scale of the fingerprint database is small, a fast positioning algorithm based on PQ is used to calculate the physical location corresponding to the fingerprint. When the scale of the fingerprint database is large, the output obtained by the fast positioning algorithm based on CNN is the two-dimensional coordinates of the vector to be positioned. The invention is not only beneficial to improve the online positioning speed under the large-scale fingerprint database, but also maintains high positioning accuracy.

Description

technical field [0001] The invention relates to a fast fingerprint positioning method based on PQ and CNN, and belongs to the technical field of signal and information processing. Background technique [0002] With the improvement of urbanization level and the continuous expansion of human activities, location-based services (Location-Based Service, LBS) are more and more widely used. Especially in recent years, with the rapid development of mobile Internet and Internet of Things applications, people habitually use LBS to find restaurants, tourist attractions, bus stops, etc. in life; LBS also plays a vital role in life rescue, transportation and other fields effect. The relatively mature LBS technology is a global positioning system (Global Positioning System, GPS) technology originated for military applications, but GPS is affected by environmental noise, multipath interference, non-line-of-sight paths, etc., which not only has low positioning accuracy but also consumes p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W64/00G06K9/62G06N3/04G06N3/08
CPCH04W64/00G06N3/08G06N3/048G06F18/23213
Inventor 王霄峻汤渊
Owner SOUTHEAST UNIV
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