A wireless sensing anti-jamming method and device based on channel state information

Abstract

The invention discloses an anti-interference method and device for wireless perception based on channel state information. The method comprises the following steps of detecting each received data packet, and acquiring a data packet subjected to radio frequency interference; extracting distortion sub-carriers in the data packet subjected to radio frequency interference to obtain sub-carriers to beprocessed; and carrying out correlation processing on the sub-carriers to be processed, and eliminating the radio-frequency interference borne by the distortion sub-carriers. The device is used for executing the method. According to the anti-interference method and device for wireless perception based on the channel state information, which are provided by the invention, through detecting the received data packets, acquiring the data packet subjected to radio frequency interference, extracting the distortion sub-carriers, acquiring the sub-carriers to be processed, carrying out correlation processing on the sub-carriers to be processed, and eliminating the distortion of the distortion sub-carriers, the anti-interference capability of a wireless perception application based on a Wi-Fi signal is enhanced, and the accuracy of wireless perception is improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a method and device for wireless sensing and anti-interference based on channel state information. Background technique [0002] In recent years, Wi-Fi technology has gradually become an important "perception" platform - applications such as Wi-Fi-based indoor positioning, personnel detection, fall detection, sleep monitoring, and activity recognition emerge in endlessly. [0003] Among the many features of Wi-Fi, Channel State Information (CSI) can resist the common indoor multipath effect to a certain extent because it describes the amplitude and phase information of multiple subcarriers, and is widely used for high-precision sensing applications. However, the current work of using CSI for environmental perception is based on the premise that there is no radio frequency interference indoors. However, as we all know, the frequency band where Wi-Fi works is an unl...

AI Technical Summary

Problems solved by technology

Although previous studies have verified that radio frequency interference will have an important impact on the collected CSI and CSI-based perception applications, they only proposed a classifier that can tolerate radio frequency interference for the special case of activity recognition.

This classifier is not only not suitable for other non-machine learning perception applications, such as indoor positioning and people tracking, but also has a very high amount of calculation, which cannot meet the real-time performance of perception requirements

At present, there is no wireless perception anti-radio frequency interference processing method to further improve the performance of CSI-based perception applications

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