The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 26, 2024

Filed:

Dec. 05, 2021
Applicant:

Nanjing University of Posts and Telecommunications, Nanjing, CN;

Inventors:

Dengyin Zhang, Nanjing, CN;

Yepeng Xu, Nanjing, CN;

Yuanpeng Zhao, Nanjing, CN;

Yan Yang, Nanjing, CN;

Chenghui Qi, Nanjing, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04W 64/00 (2009.01); G06N 3/08 (2023.01); H04W 84/12 (2009.01);
U.S. Cl.
CPC ...
H04W 64/00 (2013.01); G06N 3/08 (2013.01); H04W 84/12 (2013.01);
Abstract

An indoor target positioning method based on an improved convolutional neural network (CNN) model includes acquiring and preprocessing target camera serial interface (CSI) data of a to-be-positioned target and matching the preprocessed target CSI data with fingerprints in a positioning fingerprint database to obtain coordinate information of the to-be-positioned target. The generation method of the positioning fingerprint database includes: collecting indoor WiFi signals by a software defined radio (SDR) platform to obtain indoor CSI data corresponding to the WiFi signals, and preprocessing the indoor CSI data; partitioning the preprocessed indoor CSI data into a plurality of data subsets through a clustering algorithm; training an improved CNN model by the data subsets to obtain a trained improved CNN model; and generating the positioning fingerprint database by the trained improved CNN model and the preprocessed indoor CSI data.


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