Mine multimode wireless signal accurate identification method

Abstract

The invention belongs to the technical field of signal identification, and discloses a mine multimode wireless signal accurate identification method. The method includes: mine communication signal identification: signal preprocessing, characteristic parameter extraction and signal identification under a low signal-to-noise ratio of a classifier; mine wireless channel model analysis: large-scale fading characteristic analysis and small-scale fading characteristic analysis; and feature extraction based on a high-order cumulant: constructing a second-order moment and a fourth-order moment of theidentified mine communication signal, normalizing the feature quantity of the second-order cumulant and the fourth-order cumulant, and analyzing the influence of a fading channel on the high-order cumulant. According to the method, the problem of low recognition rate of a common SVM classifier under a low signal-to-noise ratio is solved, and the modulation recognition performance is improved to acertain extent; in three channel environments with the signal-to-noise ratio of-5, the average recognition rate of the four signals can reach 80%; in three channel environments with the signal-to-noise ratio larger than-3, the average recognition rate of the four signals can reach 90%.

Description

technical field [0001] The invention belongs to the technical field of signal identification, in particular to a method for accurately identifying multi-mode wireless signals in mines. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Mine roadway is a special confined space, and its environment is much more complex and harsh than civil air defense and railway tunnels. Different from wired communication, the refraction and reflection of radio waves are serious when propagating in underground roadways, which will cause serious multipath fading. [0004] With the development of wireless technology, the popularization and application of WiFi, 3G, 4G, 5G and other wireless technologies have had a huge impact on all aspects of people's lives. Applying wireless technology to the construction of an information platform in the coal industry, it is very necessary to build a relatively unified overall solution ...

AI Technical Summary

Problems solved by technology

[0006] To sum up, the problem existing in the existing technology is: the current research on signal modulation recognition is mostly based on the idealized Gaussian white noise environment, and the proposed method is only suitable for the ideal simulated channel environment for low signal-to-noise ratio And signal recognition in complex channel environment is currently lack of research

The reason why the predecessors seldom carried out identification research on signals in fading environments is that they failed to select effective signal characteristics and lacked research on the influence of fading channels on signal characteristics.

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