Multi-parameter jointly-estimated interference type identification method

Abstract

The invention provides a multi-parameter jointly-estimated interference type identification method, which relates to the field of monitoring of the satellite navigation interference. According to the method, for the problem of identifying an interference type when the interference of a satellite navigation system is monitored, four characteristic parameters subjected to the interference are used for classifying interference signals, after the interference signals are received, firstly a central frequency of the interference is estimated, then the signal is converted into a zero-middle-frequency baseband signal, and the characteristic parameters of the signal are then extracted and are compared with an identification database, so that seven interference debugging ways can be identified. The method has the characteristics of simple structure and low complexity and is a practical interference type identification method in the satellite navigation interference monitoring field.

Description

technical field [0001] The present invention relates to the field of satellite navigation interference monitoring, in particular to an interference type identification method based on multi-parameter joint estimation. The method utilizes some characteristic parameters of received interference signals to design an appropriate identification process to detect seven common types of interference in satellite navigation systems. Identify the modulation type of the signal. Background technique [0002] The satellite navigation system is facing more and more serious interference effects. Identifying the types of navigation interference signals is of positive significance for targeted elimination of the impact of various interferences on the navigation system. Interference signal identification technology is widely used in communication. For example, experts and scholars at home and abroad have proposed to use various methods such as signal cyclic generalization, high-order cumulant...

AI Technical Summary

Problems solved by technology

Interference signal identification technology is widely used in communication. For example, experts and scholars at home and abroad have proposed to use various methods such as signal cyclic generalization, high-order cumulant, wavelet transform, and constellation diagram to realize the identification of communication signal debugging methods. However, these All methods must first perform complex transformation on the signal, and then extract the corresponding characteristic parameters. The structure is relatively complex, the amount of calculation is large, and it is not designed for the application characteristics of satellite navigation system interference monitoring, and the actual engineering application performance is low.

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