Dimensionality Reduction Method for Indoor Positioning Fingerprint Map Based on Supervision
A fingerprint map and indoor positioning technology, applied in the field of information processing, can solve the problems of limited positioning performance and insufficient utilization of location label information, and achieve the effects of improving accuracy, superior positioning performance, and reducing overhead
Inactive Publication Date: 2020-10-02
INNER MONGOLIA UNIVERSITY
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Solve the problem that in the current indoor positioning fingerprint map dimension reduction method, the location label information is not fully utilized, resulting in limited positioning performance
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0034] like figure 1 As shown, the WiFi fingerprint positioning system structure based on the SKPCA dimensionality reduction method is given, which is divided into two stages: offline and online. The offline stage is mainly divided into two parts: one is to construct a high-dimensional fingerprint map based on the original collected RSS vector, and the other is to extract features from the high-dimensional fingerprint map based on the supervised nonlinear tran...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a supervision-based indoor positioning fingerprint map dimension reduction method. The method comprises the following steps: simultaneously considering a sample variance and aposition label by adopting a supervised kernel principal component analysis technology, and optimizing the solution of a target function formula, which is Z obtained through extracting sample featuresby the supervised kernel principal component analysis technology; carrying out dimension reduction transformation of a P*N-order fingerprint map into a compressed M*N-order fingerprint map in the offline stage, wherein M << P; and transforming any online RSS sample vector into a low-dimensional expression in the online stage, and performing searching comparison in the low-dimensional fingerprintmap to complete the positioning. Position label information is fully used during the projection of the fingerprint map from the high-dimensional RSS space to the low-dimensional space, so the positioning accuracy is improved.
Description
technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a supervision-based indoor positioning fingerprint map dimensionality reduction method. Background technique [0002] Location-based services (LBS), which refer to information services based on the location of mobile devices and mobile networks, have been a hot topic in academia and industry in recent decades. Wireless positioning technology can generally be divided into outdoor positioning technology and indoor positioning technology. Currently, typical outdoor positioning systems mainly include a global positioning system (Global Positioning System, GPS) and a base station cellular positioning system. These two positioning technologies can achieve good positioning results outdoors. However, in indoor environments, due to the existence of obstacles such as building walls, furniture, and decorations, GPS signals are often weakened and cannot be receive...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/20H04W64/00
CPCG01C21/206H04W64/00
Inventor 贾冰黄宝琦郜贺鹏李乌云格日乐
Owner INNER MONGOLIA UNIVERSITY