Deception signal detection method and device, receiver, electronic equipment and storage medium

Abstract

The embodiment of the invention relates to the field of communication, and discloses a deception signal detection method and device, a receiver, electronic equipment and a storage medium, so as to solve the problem that a deception signal cannot be accurately detected. The method is applied to a signal receiver, the signal receiver comprises more than two signal tracking channels, each signal tracking channel comprises correlators of three or more branches, and the correlators of the branches are used for outputting correlation results at different intervals. Constructing a corresponding statistical magnitude according to the correlator output of each branch; the statistical magnitude of each branch is compared with a preset threshold value, a comparison result is obtained, and the probability distribution of the statistical value output by the correlator of each branch in the normal tracking state of the channel conforms to x2 distribution; and according to the comparison result, obtaining a detection result whether the tracking signal contains a deception signal.

Description

technical field [0001] Embodiments of the present invention relate to the field of communications, and in particular, to a method, apparatus, receiver, electronic device, and storage medium for detecting a spoofing signal. Background technique [0002] The Global Navigation Satellite System (GNSS) signal is very weak and is easily affected by jamming signals. A low-power jamming source several kilometers away from the receiver can easily cause poor tracking and positioning of the receiver. influences. In recent years, due to the continuous development of software technology, the generation of deception signals through software to interfere with GNSS signals and induce the receiver to generate wrong positioning has become an increasing threat to GNSS positioning technology. How to detect spoofing signals has become an urgent problem to be solved. [0003] The prior art adopts a signal quality monitoring (signal quality monitoring, SQM) technology, and judges whether there i...

AI Technical Summary

Problems solved by technology

However, SQM technology can only detect abnormally sharp coherence peaks, and spoofing signals that cannot effectively change the shape of the correlation peak cannot be detected by SQM technology, resulting in inaccurate detection of spoofing signals

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