Variational mode decomposition-based single-channel radio mixed signal separation method

Abstract

The present invention discloses a variational mode decomposition-based single-channel radio mixed signal separation method. According to the method, the component number and penalty factor of a variational mode decompositionn algorithm are improved simultaneously through an improved quantum particle swarm optimization algorithm, and the values of the component number and penalty factor of the variational mode decompositionn algorithm are determined; the parameter optimized variational mode decompositionn algorithm is adopted to separate single-channel radio mixed signals; since the signal-to-noise ratio of the single-channel radio signals to be processed is relatively low, the signal-to-noise ratio of radio signals obtained after the separation is increased, but a large quantity of noisesstill exist; therefore, the parameter-optimized variational mode decomposition algorithm is adopted to perform secondary separation on the radio signals; the reliability of radio signals obtained after the secondary separation is higher than that of the radio signals obtained after the first separation.

Description

technical field [0001] The invention relates to the technical field of single-channel radio mixed signal separation, in particular to a single-channel radio mixed signal separation method based on variational mode decomposition. Background technique [0002] In practical applications, due to the constraints of equipment cost and installation conditions, there is often a problem that only a single sensor receives a single channel mixed signal with multiple useful signals and noise mixed into one channel. Single-channel mixed signals also widely exist in fields such as biomedicine, underwater acoustic signals, voice signals, and communication signals. Since radio signals play an important role in our daily life, it is of great significance and wide application value to study the separation of single-channel radio mixed signals in the face of complex electromagnetic environments. [0003] At present, there are some methods for the separation of single-channel mixed signals, su...

AI Technical Summary

Problems solved by technology

EMD is a recursive mode decomposition method, which will be decomposed step by step according to the fluctuation or trend of different scales of the mixed signal, and decomposed into a series of intrinsic mode function components with frequencies from high frequency to low frequency distribution, but the mode is easy to be generated during the EMD decomposition process Aiming at this phenomenon, the overall average empirical mode decomposition method (EEMD) is proposed. Although the influence of mode aliasing is eliminated to a certain extent, the added white noise cannot be completely neutralized, and it is not complete. sex

As a new method of adaptive signal processing—Variational Mode Decomposition (VMD), it can also separate signals under low SNR conditions. It is a completely non-recursive mode decomposition method that will mix signals It is decomposed into a series of component signals, and most of each mode is tightly around the center frequency, but the signal processing result of the VMD algorithm is affected by the two parameters of the number of components and the penalty factor at the same time

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