Method of RF Fingerprint Extraction Based on Multi-interval Differential Constellation Trajectories

Abstract

The invention relates to a method for extracting radio frequency fingerprints based on a multi-interval differential constellation locus diagram, which specifically includes the following steps: Step 1: Preprocessing the received baseband I / Q signal; Step 2: Using the sampled signals of the I and Q channels The delay is controlled separately by the delayer; step 3: use different sampling point intervals for differential processing; step 4: perform feature fusion on the differential constellation trajectory diagram with different sampling point intervals; step 5: identify the device. The multi-interval differential constellation trajectory diagram obtained by the present invention maintains the characteristics of each differential constellation trajectory diagram, has more abundant information, and can better display the differences in carrier offsets of different devices. At the same time, the robustness to the environment can be improved, and the identification of the wireless device identity can be better completed even in a low signal-to-noise ratio environment. Moreover, extracting RF fingerprint features with multiple differential intervals can simplify the computational complexity of RF fingerprint extraction while achieving abundant available features.

Description

technical field [0001] The invention relates to the field of communication and information security, in particular to a method for extracting radio frequency fingerprints based on a multi-interval differential constellation locus diagram. Background technique [0002] With the continuous popularization of mobile communication devices and the vigorous development of Internet of Things technology, wireless communication plays an irreplaceable role in both military and civilian applications, and has become an indispensable part of modern society. However, due to its openness, wireless networks are more vulnerable to large-scale malicious attacks than traditional wired networks, and their security issues cannot be ignored. The traditional method of protecting the security of wireless network is usually based on the security protocol of cryptographic mechanism to realize the protection of data integrity and confidentiality, and to realize the authentication of the identities of b...

AI Technical Summary

Problems solved by technology

When a short differential interval is selected, the cumulative phase offset caused by the carrier frequency offset is not obvious because the signal sampling time for the differential operation is relatively close, so the resolution of the identification of the carrier frequency offset is not high, and it is impossible to identify the Devices with similar carrier frequency offset

When a long differential interval is selected, if the carrier frequency offset of a certain device is large, the cumulative phase offset generated by it may exceed, resulting in phase confusion and affecting the correct identification of wireless devices.

It can be seen that the traditional differential constellation trajectory diagram based on a single differential interval cannot take into account both the carrier frequency offset resolution capability and the applicable range of carrier frequency offset, resulting in limited wireless device identification performance

Images