Adaptive Threshold Scheme for Pulse Detection under Condition of Background Nonstationary Noise

Author:

Shcherbina A O,Lukovenkova O O,Solodchuk A A

Abstract

Abstract The paper describes a new adaptive threshold scheme for detecting pulses in high-frequency signals against a background of non-stationary noise. The result of the scheme operation is to determine the pulse boundaries by comparing the signal amplitude-time parameters with the threshold. The threshold value is calculated in non-overlapping windows of fixed length and depends only on the background noise level. The detected pulses undergo additional shape checking, taking into account their characteristics. The parameters of the algorithms for detecting pulses and checking their shape can be adjusted for any type of high-frequency pulse signals. This threshold scheme is tuned to detect pulses in high frequency geoacoustic emission signals. The results of the scheme operation on an artificial signal and on fragments of a geoacoustic signal are given, a comparison is made between the proposed scheme and the previously used (outdated) one. The new threshold scheme proposed by the authors is less sensitive to the choice of the initial threshold value and it is more stable in operation. When processing 15-minute fragments of a geoacoustic signal, the new scheme correctly detects, on average, 5 times more pulses.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sound Range AE as a Tool for Diagnostics of Large Technical and Natural Objects;Sensors;2023-01-22

2. Improved algorithm for detecting pulses in geoacoustic emission signals recorded by a combined receiver in Kamchatka;INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INNOVATIVE TECHNOLOGIES IN AGRICULTURE”;2023

3. Adaptive Approach to Time-Frequency Analysis of AE Signals of Rocks;Sensors;2022-12-13

4. Distributed System for Recording, Collecting, and Digital Processing of Broadband Geophysical Signals;2022 24th International Conference on Digital Signal Processing and its Applications (DSPA);2022-03-30

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