Electromagnetic interference monitoring and identification method for power LTE wireless private network

Abstract

The invention discloses an electromagnetic interference monitoring and identification method for a power LTE wireless private network. The method comprises two processes: spectrum monitoring and interference identification. The spectrum monitoring comprises the steps: employing a scanning heterodyne type frequency spectrum monitoring design at a high frequency band; through multi-stage frequency conversion processing, converting an input signal to a lower intermediate frequency, and then adopting a Fourier spectrum monitoring design at a middle frequency band to perform A/D sampling quantification on the signal which is converted to the intermediate frequency, converting the signal into a digital signal, and then employing a digital intermediate frequency technology and Fourier transform to complete spectrum monitoring. The interference source identification process comprises the following steps: firstly, performing preprocessing, feature extraction and feature selection on acquired data, learning a relationship between acquired signal features and an interference source by utilizing a machine learning algorithm to obtain a classification model based on interference source identification, extracting features from a test signal, and identifying a result by adopting the obtained classification model. According to the invention, frequency spectrum monitoring and interference identification functions of the electromagnetic frequency spectrum can be tightly combined according to the requirements of a power system, and the method is suitable for a 1.8 GLTE wireless private network.

Description

technical field [0001] The invention belongs to the field of radio frequency spectrum detection and interference analysis, in particular to a method for monitoring and identifying electromagnetic interference of a power LTE wireless private network. Background technique [0002] At present, the electric power system has carried out the construction of electric power wireless private network based on LTE technology in many cities, which effectively supports the communication bearing demand of electric power business, realizes the flexible ubiquitous access of terminal side business, and promotes the intelligentization of business With the development of wireless communication, while achieving certain results in power applications, some existing problems are gradually exposed. Among them, the interference problem has a particularly prominent impact on the performance of the network, and even directly leads to the interruption of power services. Real-time monitoring, network in...

AI Technical Summary

Problems solved by technology

[0004] There are many power wireless application scenarios and a wide coverage area. There is a lack of an intelligent electromagnetic environment comprehensive assessment mechanism, which cannot provide decision-making basis for frequency resource management. The current frequency allocation methods are extensive, mainly relying on manual experience and rough estimation of business needs. Automation and refinement need to be improved, and the electromagnetic environment assessment can only be carried out by hand-held instruments for small-scale frequency sweeping, which is not flexible enough, and the real-time performance is not strong

[0005] At present, the frequency bands of the private network are all frequency bands shared by multiple industries. The signal leakage and overlap of adjacent frequency bands will cause interference to the stability of the wireless private network and affect the quality of service access. The reliable operation of the electric power wireless private network brings more hidden dangers. It is necessary to find a feasible method to accurately judge the type of interference and trace the source of the interference, and then take relevant measures to avoid large-scale disconnection of services and affect the quality of electric power services.

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