Signal processing method for lightning signals

Abstract

The invention discloses a signal processing method for lightning signals, and relates to the field of lightning signal processing. The method comprises the steps: S1, obtaining the lightning signals; s2, recognizing repeatedly appearing pulse signals as continuous steady-state pulse noise signals; s3, fitting the continuous steady-state pulse noise signal into standard noise; s4, performing sliding cross-correlation recognition denoising on the lightning signal by taking standard noise as a reference; the baseline signal is filtered out by adopting a baseline signal and useful signal separation mode, so that the lightning original signal information is reserved to the maximum extent while the low-frequency interference is reduced; according to the method, the recognized continuous steady-state pulse noise signals are fitted into standard noise in a pulse noise waveform recognition mode, recognition and denoising are carried out on the lightning signals based on the standard noise signal waveforms, and compared with a frequency domain filtering method, power supply harmonics and environmental noise interference can be filtered out more effectively.

Description

technical field [0001] The invention relates to the field of lightning signal processing, in particular to a signal processing method for lightning signals. Background technique [0002] Lightning is one of the most serious natural disasters, which can cause fires in forests and oil depots, cause failure or damage to power supply and communication information systems, and pose a major threat to aerospace, mines, and some important and sensitive high-tech equipment. After the 1980s, the damage caused by lightning has increased significantly, especially in fields closely related to high-tech, such as aerospace, national defense, communications, electric power, computers, and electronics industries. VLSI has greatly increased the probability of being struck by lightning; according to conservative estimates, the direct economic loss caused by lightning damage in my country exceeds hundreds of millions of yuan each year, and the indirect economic loss and impact caused by it are d...

AI Technical Summary

Problems solved by technology

There are also some continuous steady-state noises, which usually come from the local electromagnetic environment, or harmonic interference of some power supplies, and the noise signals of different stations may be different

These have a relatively large impact on the peak-finding of the lightning electric field signal, thereby affecting the accuracy of lightning location and signal feature analysis

The traditional signal preprocessing method is to use frequency domain filtering to filter out relatively low-frequency noise signals, but many noises, especially some continuous steady-state noise and lightning signals, are in the same frequency band, and it is difficult to completely remove them simply by low-pass filtering.

In addition, the traditional filtering method cannot accurately set the filtering range. If the frequency band of the filter is narrow, the obtained signal noise is less, but the lightning signal outside the required frequency band is lost; if the frequency band is set wider, many low frequencies will be introduced. Noise degrades signal quality

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