Impact monitoring system using digital random demodulation and split recovery algorithm

Abstract

The invention proposes an impact monitoring system using a digital random demodulation and split recovery algorithm, and the system comprises an impact monitoring front end, a sampling trigger module,a signal conversion module, a digital random sampler, a host computer and other modules, wherein the impact monitoring front end and the sampling trigger module realize the real-time monitoring of animpact signal, and record the required information for the processing at the next layer structure; the signal conversion module converts the received voltage analog signal into a ternary signal basedon the level change of its amplitude and inputs the ternary signal into the digital random sampler; the digital random sampler performs compressed sampling on the ternary signal by digital random demodulation; and the upper computer implements algorithm recovery that can process the sampled signals in parallel, and accurately inverts the original impact signal waveform at high speed.

Description

technical field [0001] The invention relates to an impact monitoring system adopting digital random demodulation and split recovery algorithm, which belongs to the field of structural health monitoring. Background technique [0002] Structural health monitoring is a means of continuously monitoring objects to increase human safety and reduce maintenance costs. In civil and industrial buildings, structural health monitoring systems provide information on changes in individual components or entire structures due to material aging, environmental effects or accidental events. In the aerospace industry, carbon fiber reinforced polymer composites are very common in the main structure of modern aircraft, but the disadvantage is that their complex laminate structure makes their damage mechanism more complicated than that of classical materials. Therefore, it is important to monitor different forms of composite materials in real time to ensure that component failure does not occur d...

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Problems solved by technology

However, the basic pursuit of convex optimization often has high computational complexity, while the matching pursuit follows the greedy principle and is sensitive to strong noise.

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