Method for identifying networks in electric power wireless communication isomeric multi-network coexistence environment

Abstract

The invention provides a method for identifying networks in an electric power wireless communication isomeric multi-network coexistence environment. The method comprise the following steps that firstly, network signals are monitored, MAC protocol characteristics of the network signals are identified through an improved sliding window energy detection method, and the frame length of the network signals is identified for the networks based on frame transmission; secondly, a circular correlation spectrum of the network signals monitored in the first step is obtained according to a multi-period weighted circulation stable characteristic detection method, and the time-frequency characteristics of the network signals are identified according to distribution of spectrum peaks of the circular correlation spectrum; thirdly, the MAC protocol characteristics and the time-frequency characteristics of the monitored network signals are compared with known network signal characteristics, and the type of the monitored network signals is identified. By means of the method, prior information is not needed in the identifying process, the accurate rate of identification is high, and the method is extremely high in adaptability to identification of the networks in the electric power wireless communication isomeric multi-network coexistence environment.

Description

Technical field [0001] The present invention relates to the field of power communication, in particular to a network identification method in a heterogeneous multi-network coexistence environment of power wireless communication. Background technique [0002] The smart grid realizes the vertical penetration and horizontal integration of massive information by layering and grading the basic information flow. It needs to use the power communication network to implement all-round, dynamic and intelligent aspects of power generation, transmission and transformation, power distribution and management, etc. Monitoring, analysis, and regulation require the electric power communication network to support the flexible access of electric power services; the electric power wireless communication network supports a large number of users, high concurrency of services, and complex operating environment. No single communication system can meet all needs. It is a heterogeneous multi-network hybri...

AI Technical Summary

Problems solved by technology

[0003] Existing network discovery and identification methods, such as network identification schemes based on the MAC layer protocol, perform network identification according to the system capacity variation rules under different transmission modes, and can only identify networks based on different transmission modes, but for networks that transmit in the same mode It cannot be identified; using the frequency domain characteristics of different networks, the network can be identified by judging the network bandwidth, but this method cannot be realized for networks with the same bandwidth; for IEEE802.X wireless network discovery and identification, combined with energy detection and cyclostationary features The detection can reduce the computational complexity while ensuring the basic recognition performance, but the two sets of cyclostationary characteristics are directly multiplied, but the accuracy of this method for network recognition is low, and there are often misidentifications that lead to misconnection of the power communication network , in the above method, there is still a common problem: the recognition rate of the network state is low

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