Classification method based on channel measurement

Abstract

The invention relates to a classification method based on channel measurement, and belongs to the technical field of channel identification environment backscatter communication and machine learning. The system comprises a transmitter, a receiver and a small radio frequency transceiver. The transmitter sends PN codes and sine waves; the receiver receives the signal reflected and absorbed by the small radio frequency transceiver; the method comprises the following steps: step 1, a receiver receives a signal sent by a transmitter; 2, performing feature extraction on the received signals to obtain a feature set X and a feature test set Xt respectively; step 3, training by using the feature set X to obtain trained classification model parameters; and step 4, classifying the feature test set Xt. According to the method, the time complexity and the space complexity are low, and high recognition accuracy can still be guaranteed under the condition of small sample data; the method has good generalization for high-dimensional and nonlinear classification problems, and can be used for feature extraction of channel receiving signals in most application scenarios.

Description

technical field [0001] The invention relates to a classification method based on channel measurement, belonging to the technical field of channel identification environment backscatter communication and machine learning. Background technique [0002] 5G communication technology promotes the development of the Internet of Things, which is the Internet of Everything. An important feature of the Internet of Things is large-scale connections. Millions of connections per square kilometer bring IoT systems three challenges: high energy consumption, high hardware costs, and shortage of spectrum resources. The passive communication method of the environmental backscatter system achieves the purpose of communicating with the receiver by reflecting the signals existing in the environment. It does not require additional spectrum and also reduces the cost of tags, which is in line with the development needs of large-scale connections. [0003] In actual use, different small radio frequ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the above-mentioned defects of high channel measurement signal classification complexity and low equipment recognition rate, and proposes a channel measurement classification method

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