An adaptive empirical mode decomposition and stochastic resonance system in high efficient detection of terahertz radar signal
Source abstract
Abstract
Interference noise affects the ranging capability of terahertz radar signal detection. Aiming at the above problem, a method based on adaptive empirical mode decomposition and stochastic resonance system is proposed. With the preprocessing method of twice sampling, adaptive empirical mode decomposition, stochastic resonance system, and scale recovery, the optimal intrinsic mode function can be screened automatically, the optimal parameters can be obtained automatically and the ranging calculation can be completed. Experimental results demonstrate the effectiveness and superiority of the proposed adaptive system in achieving weak fault signal detection under heavy background noise.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Terahertz technology and applications · Blind Source Separation Techniques · Acoustic Wave Resonator Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, Tiangong University, Tianjin, China;
School of Electronics and Information Engineering, Tiangong University, Tianjin, China;
School of Mathematical Sciences, Tiangong University, Tianjin, China;
School of Physical Science and Technology, Tiangong University, Tianjin, China
References (29)
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