GNSS spoofing interference detection method based on convolutional neural network

Abstract

The invention discloses a GNSS spoofing interference detection method based on a convolutional neural network. The GNSS spoofing interference detection method comprises the following steps that (1) inthe signal acquisition phase, the number N<peak>, greater than an acquisition threshold, of correlation peaks in a two-dimensional matrix A generated during signal acquisition is detected, if N<peak>is no less than 2, it is considered that a spoofing signal exists, if N<peak> is less than 2,the step two continues to be conducted; and (2) a detection matrix As is obtained by intercepting data inthe + / -2 chip area on pseudo code phase axes of the correlation peaks of the two-dimensional matrix A, after data preprocessing, the convolutional neural network conducts detection training and classification, and finally a detection result is obtained. The detection method has the good detection effect and high applicability, and the detection period is in the signal acquisition stage, and complexity is moderate; and the problem difficult to detect when the pseudo phase difference delta T between the spoofing signal and a real signal is within two chips can be solved.

Description

technical field [0001] The invention belongs to the technical field of interference detection in satellite navigation systems, in particular to a GNSS deception interference detection method based on a convolutional neural network (CNN). Background technique [0002] Global Navigation Satellite System (GNSS) is a wide-coverage, all-weather, real-time and high-precision navigation system. With the continuous development of satellite navigation technology, GNSS is widely used in various military and civilian facilities. With the development of satellite navigation and positioning technology, the number of users and application scenarios continue to increase, and people pay more and more attention to safety and reliability. The security threats faced by the current satellite navigation system can be mainly divided into unintentional interference and intentional interference. Intentional interference mainly refers to artificial malicious interference, and can be divided into s...

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Problems solved by technology

The second is based on signal processing, through signal detection in time domain, frequency domain, power and other characteristics, including signal absolute power detection, carrier-to-noise ratio detection, signal quality monitoring, detection based on RAIM (Receiver Autonomous Integrity Monitoring), etc. This method has strong applicability, but the accuracy of signal absolute power detection and carrier-to-noise ratio detection is poor. RAIM-based detection needs to solve the signal, which has high complexity and low timeliness.

Signal quality monitoring mainly judges whether there is a spoofing signal by whether the signal correlation peak is distorted. The existing signal quality monitoring methods mainly include detecting the number of correlation peaks during signal capture and analyzing the correlator output during signal tracking; the current signal The method of detecting the number of correlation peaks at the time of acquisition is difficult to distinguish the spoofed signal from the real signal when the pseudocode phase difference is less than 2 chips

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