Transient electromagnetic signal noise separation and recognition method based on improved variational mode decomposition
A variational modal decomposition and transient electromagnetic technology, applied in the field of signal processing, can solve the problems of affecting noise separation and identification, unable to achieve optimal decomposition, subjective results, etc., to reduce workload, facilitate signal reconstruction, The effect of fewer operators
A variational modal decomposition and transient electromagnetic technology, applied in the field of signal processing, can solve the problems of affecting noise separation and identification, unable to achieve optimal decomposition, subjective results, etc., to reduce workload, facilitate signal reconstruction, The effect of fewer operators
CN111985383APending Publication Date: 2020-11-24TAIYUAN UNIV OF TECH
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[0053] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0054] refer to figure 1 , the present invention provides a transient electromagnetic signal noise separation and identification method based on improved variational mode decomposition, including:
[0055] Using the Whale Optimization (WOA) algorithm to search globally for the modal number K and the penalty factor α in the variational mode decomposition algorithm, the optimal parameter combination is obtained;
[0056] Use the obtained optimal parameter combination to perform variational mode decomposition (VMD) on the transient electromagnetic signal to achieve signal-to-noise separation;
[0057] The noise mode in the modal component is identified by the improved Bhattacharyachian distance algorithm, and the noise el...
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The invention discloses a transient electromagnetic signal noise separation and recognition method based on improved variational mode decomposition, which comprises the steps of: carrying out the global search and optimization of a mode number K and a penalty factor alpha in a variational mode decomposition algorithm through employing a whale optimization (WOA) algorithm to obtain an optimal parameter combination; carrying out variational mode decomposition (VMD) on a transient electromagnetic signal by utilizing the obtained optimal parameter combination to realize signal-to-noise separation;and identifying a noise mode in a mode component through an improved Bhattacharyya distance algorithm to realize noise elimination. According to the optimization method, parameter setting is simple,required operators are few, and the workload of a traditional optimization method is greatly reduced; transient electromagnetic signals can be decomposed into a series of modal components with frequencies from low to high more accurately according to optimized parameters, and the modal aliasing problem caused by traditional artificial subjective parameter selection is greatly reduced; and the calculation is simple and convenient, the identification is convenient, and subsequent signal reconstruction is facilitated.
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technical field [0001] The invention relates to the technical field of signal processing, and more specifically, to a method for separating and identifying transient electromagnetic signal noise based on improved variational mode decomposition. Background technique [0002] As a mature and rapid exploration method, transient electromagnetic method (TEM) is widely used in many fields such as resource exploration, geological research, environmental investigation and archaeological exploration. In particular, great progress has been made in mapping groundwater and locating mineral resources, fully meeting the world's growing demand for mineral resources and groundwater. Different from other signals, transient electromagnetic signal is a nonlinear and non-stationary signal, and the late signal is very weak. During the measurement process, the transient electromagnetic secondary field signal received by the coil is inevitably disturbed by natural and man-made noise, which covers...
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Patent Timeline
24 Nov 2020
Publication
CN111985383A
- IPC
- G06K9/00
- CPC
- G06F2218/00; G06F2218/04
- Inventors
- 戚庭野; 卫会汝