Ultra-low-frequency abnormal infrasound signal judging method

A technology of abnormal signals and discrimination methods, which is applied to the measurement of ultrasonic/sonic/infrasonic waves, measuring devices, instruments, etc., which can solve the problems of large time scale of ultra-low frequency infrasonic waves, long propagation distance, and submersion of signals in frequency bands of concern, etc., to reduce workload Effect

Active Publication Date: 2016-06-29
BEIJING CHANGCHENG INST OF METROLOGY & MEASUREMENT AVIATION IND CORP OF CHINA
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Problems solved by technology

At present, the commonly used monitoring method is to monitor the infrasound signal through multiple stations working around the clock, which leads to the signal of the frequency band of interest being submerged in a large amount of infrasound data
And because the ultra-low frequency infrasound has the characteristics of large time scale, long propagation distance, serious signal distortion, and comple

Method used

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  • Ultra-low-frequency abnormal infrasound signal judging method
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  • Ultra-low-frequency abnormal infrasound signal judging method

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Embodiment 1

[0029] A method for identifying abnormal ultra-low frequency infrasound signals, the process is as follows figure 1 shown, including the following steps:

[0030] 1. Select a section of monitoring signal from any monitoring station and mark it as X s (n), according to the need to select the signal frequency range F of interest 1 ~F 2 , in this example F 1 = 0.001Hz, F 2 =0.01Hz, the period is roughly between 100s and 1000s, and the target feature is taken as 1000s.

[0031] 2. For the original signal X s (n) The frequency band range is F 1 ~F 2 The band-pass filtering of , to obtain the filtered signal X(n).

[0032] 3. Calculate the energy curve S of the filtered signal X(n) by formula (1) x (n), in this embodiment, L is the length of the signal X(n), and the length of the short time window is N=300.

[0033] 4. The energy curve S x (n) Compared with the threshold TH, if It means that this section of signal does not contain ultra-low frequency abnormal infrasound...

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Abstract

The invention relates to an ultra-low-frequency abnormal infrasound signal judging method and belongs to the technical field of experimental testing. According to the ultra-low-frequency abnormal infrasound signal judging method, whether abnormal infrasound signals exist or not is analyzed and preliminarily judged through an energy curve according to the characteristics of large time scale, long propagation distances, severe signal distortion, source and background signal complex and the like of ultra-low-frequency infrasound signals produced in natural and artificial events including great pre-earthquakes, tsunamis, air explosion and the like during propagation, and if so, the abnormal infrasound signals of different stations come from the same infrasound event through wide-area multi-point long-time digital discrete correlation analysis. Compared with the prior art, the ultra-low-frequency abnormal infrasound signal judging method can achieve intelligent extraction of specific-frequency-band high-amplitude signals from infrasound monitoring data, decrease the work amount of artificial recognition, provide a quantized basis for judgment on abnormal infrasound signals and conduct quantizing calculation on the correlation degree of the infrasound signals and is used for judging whether ultra-low-frequency infrasound waves come from the same event.

Description

technical field [0001] The invention relates to a method for discriminating abnormal signals, in particular to a method for discriminating abnormal signals of ultra-low frequency infrasound, and belongs to the technical field of testing. Background technique [0002] Some ultra-low frequency infrasound signals below 0.1 Hz will appear in natural and artificial events such as earthquakes, tsunamis, meteors, and air explosions. At present, the commonly used monitoring method is to monitor the infrasound signal through multiple stations working around the clock, which leads to the signal of the frequency band of interest being submerged in a large amount of infrasound data. And because ultra-low frequency infrasound has the characteristics of large time scale, long propagation distance, serious signal distortion, and complex source and background signals, the signal from the same infrasound source can be detected by multiple stations, but the infrasound detected by different st...

Claims

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Application Information

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IPC IPC(8): G01H17/00
CPCG01H17/00
Inventor 黄日恒杨军
Owner BEIJING CHANGCHENG INST OF METROLOGY & MEASUREMENT AVIATION IND CORP OF CHINA
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