Interference type identification method

Abstract

The invention belongs to the technical field of communication, and relates to an interference type identification method. The interference type identification method provided by the invention can comprise the following steps: carrying out interference detection and interference identification on hostile interference in a wireless communication system in a complex electromagnetic environment; and then jointly deciding the condition of the current electromagnetic environment, and classifying the interference types in an interference environment, the existence of interference is mainly determined from two aspects of time domain and frequency domain in the interference detection; in the interference identification, feature parameters are mainly extracted from the time domain, the frequency domain and the time-frequency domain, the interference is divided into time domain interference, frequency domain interference and sweep frequency interference by using a decision tree, and a part of interference is identified in detail; and the feature parameters extracted by the interference type identification method provided by the invention have relatively good robustness and are not sensitive to the interference and noise ratio, and relatively good interference identification performance can be obtained when a decision tree judgment method having relatively low algorithm complexity is used.

Description

technical field [0001] The invention belongs to the technical field of communication and relates to an interference type identification method. Background technique [0002] With the rapid development of electronic information technology, there are more and more communication systems, communication systems are becoming more and more complex, and the electromagnetic environment in which communication is located is also becoming more and more complex. This poses a huge challenge to various communication systems in terms of anti-jamming, especially in military communications. The anti-jamming performance of communication systems may directly affect the direction of war. Research and explore in order to obtain information superiority in a complex international situation and ensure the military security of the country. As an important part of the communication countermeasure system, interference identification can provide a basis for understanding the current electromagnetic env...

AI Technical Summary

Problems solved by technology

It can be seen that the current interference identification algorithms are all aimed at a specific type of interference or for a specific application scenario. There are relatively few types of interference and are not suitable for complex electromagnetic interference environments.

On the other hand, interference identification includes two processes of interference feature extraction and interference classification, among which the extraction of interference feature parameters is the core of interference identification, and the selection of feature parameter extraction algorithms is also varied, such as using wavelet packet transform to extract feature parameters, Algorithms such as high-order cumulant and fractional Fourier transform are used. Although the above-mentioned algorithms can accurately extract the characteristic parameters of the interference signal, they greatly increase the complexity of the calculation, which is not conducive to the realization of the project; among various classification algorithms, neural Network classifiers require a large number of training samples for classification, and are prone to problems such as under-learning, over-learning and falling into local extremum. Support vector machine classifiers have great potential in solving high-dimensional pattern recognition, nonlinear recognition and small sample recognition problems. advantages, but there are also problems such as the selection of kernel functions and the determination of kernel parameters, and the complexity is relatively high

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