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1. CN110536299 - Data packet legality confirmation method based on edge calculation and discrete random convolution

Office
China
Application Number 201910832461.8
Application Date 04.09.2019
Publication Number 110536299
Publication Date 03.12.2019
Grant Number 110536299
Grant Date 14.04.2020
Publication Kind B
IPC
H04W 12/08
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
WWIRELESS COMMUNICATION NETWORKS
12Security arrangements, e.g. access security or fraud detection; Authentication, e.g. verifying user identity or authorisation; Protecting privacy or anonymity
08Access security
H04B 7/0413
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
BTRANSMISSION
7Radio transmission systems, i.e. using radiation field
02Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
04using two or more spaced independent antennas
0413MIMO systems
G06K 9/62
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
CPC
G06K 9/6268
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6267Classification techniques
6268relating to the classification paradigm, e.g. parametric or non-parametric approaches
H04B 7/0413
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
BTRANSMISSION
7Radio transmission systems, i.e. using radiation field
02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
04using two or more spaced independent antennas
0413MIMO systems
H04W 12/08
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
WWIRELESS COMMUNICATION NETWORKS
12Security arrangements; Authentication; Protecting privacy or anonymity
08Access security
Applicants UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
电子科技大学
ELECTRIC POWER RESEARCH INSTITUTE CO., LTD. CSG
南方电网科学研究院有限责任公司
Inventors XIE FEIYI
谢非佚
XU AIDONG
许爱东
WEN HONG
文红
JIANG YIXIN
蒋屹新
ZHANG YUNAN
张宇南
XU XINCHEN
徐鑫辰
Agents 成都巾帼知识产权代理有限公司 51260
Title
(EN) Data packet legality confirmation method based on edge calculation and discrete random convolution
(ZH) 基于边缘计算和离散随机卷积的数据包合法性确认方法
Abstract
(EN)
The invention discloses a data packet legality confirmation method based on edge calculation and discrete random convolution. The data packet legality confirmation method comprises the following steps: pre-storing original pilot signals in an edge server and known terminal equipment; the known terminal equipment inserting a known original pilot signal into the sending signal and sending the sending signal to the edge server; the edge server performing pilot frequency separation on the received signals to obtain a received pilot frequency signal matrix; calculating an estimated value of the channel matrix; for known terminal equipment, measuring a set of estimated values of a plurality of channel matrixes; for different known terminal devices, measuring a set of corresponding channel matrixestimations, and constructing a training set; establishing a convolution kernel and a convolution kernel movement rule, and training to obtain a mature neural network classifier; measuring a set of channel matrix estimation of the to-be-verified terminal equipment; and classifying the channel matrixes of the to-be-verified terminal equipment. According to the method, the recognition effect of theclassifier constructed by the convolutional neural network in the MIMO channel matrix is improved, and the recognition accuracy is improved.

(ZH)
本发明公开了一种基于边缘计算和离散随机卷积的数据包合法性确认方法,包括以下步骤:在边缘服务器与已知终端设备中预存原始导频信号;已知终端设备在发送信号中插入已知的原始导频信号发送给边缘服务器;边缘服务器对接收信号进行导频分离,得到接收到的导频信号矩阵;计算信道矩阵的估计值;对于已知终端设备,测得多个信道矩阵的估计值的集合;对于不同的已知终端设备,测得对应的信道矩阵估计的集合,构建训练集合;建立卷积核与卷积核移动规则,训练得到成熟的神经网络分类器;测得待验证终端设备信道矩阵估计的集合;对待验证终端设备的信道矩阵进行分类。本发明提高了卷积神经网络构建的分类器在MIMO信道矩阵中识别效果,提高识别的准确率。

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