Spectrum sensing algorithm based on variational mode decomposition

A variational mode decomposition and spectrum sensing technology, which is applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as signal interference, achieve the effects of improving performance, reducing signal-to-noise ratio, and improving detection performance

Active Publication Date: 2019-07-26
XIDIAN UNIV
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Problems solved by technology

[0005] The present invention overcomes the problem that the signal at the receiving end is interfered by the noise background in the prior art, and provides a spectrum sensing algorithm based on variational mode decomposition that performs adaptive frequency band segmentation according to the frequency domain characteristics of the signal, and each component can be effectively separated.

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  • Spectrum sensing algorithm based on variational mode decomposition

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[0027] The spectrum sensing algorithm based on variational mode decomposition of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments: It should be noted that the embodiments used here are only for explaining the present invention, and the present invention is not limited thereto Example.

[0028] Step 1, first generate the simulation signal BPSK.

[0029] Used embodiment in the present invention, at first produces BPSK signal, its symbol rate R b =0.64MHz, carrier frequency f c = 5.12MHz, the sampling rate is f s=12.8MHz, the number of symbols is Len=200, the number of sampling points is N=Len*f s / R b .

[0030] Step 2: Determine the optimal number of modal decompositions K by analyzing the change curve of the characteristic parameter mean value of the instantaneous frequency of the component, and set an appropriate penalty factor a.

[0031] Depend on Figure 4 It can be seen that when the number...

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Abstract

The invention discloses a spectrum sensing algorithm based on variational mode decomposition, and solves the problem that a signal at a receiving end is interfered by a noise background in the prior art. The method comprises the following steps of: 1, generating a simulation signal BPSK; 2, taking the mean value of the instantaneous frequencies of the components as a decomposition parameter, determining an optimal mode decomposition number K according to a change curve of the decomposition parameter, and setting an appropriate penalty factor alpha; 3, performing variational mode decompositionon the BPSK signal according to the obtained decomposition parameters; 4, respectively carrying out power spectrum estimation on the obtained L intrinsic modes; 5, taking the ratio of the sum of the spectral line intensities of the intrinsic modes to the sum of intensities of all the intrinsic modes as a test statistic; and 6, comparing the obtained test statistics with a judgment threshold, and making a final judgment. According to the method, the equivalent band-pass filtering characteristic and the Wiener filtering structure of variational mode decomposition are utilized, frequency bands are better divided, and denoising processing is better carried out; and compared with a traditional power spectrum segmented cancellation algorithm, the detection performance can be remarkably improved.

Description

technical field [0001] The present invention relates to the field of cognitive radio technology, in particular to a spectrum sensing algorithm based on variational mode decomposition. Background technique [0002] Spectrum sensing means that cognitive users obtain spectrum usage information in wireless networks through various signal detection and processing methods. From the perspective of functional layering of wireless networks, spectrum sensing technology mainly involves the physical layer and the link layer. Collaborative perception and perception mechanism optimization and other three aspects. The signal detection studied in this paper is actually the content that needs to be paid attention to and researched at the physical layer in spectrum sensing. [0003] The classic signal detection algorithms in spectrum sensing mainly include energy detection, matched filter detection, cyclostationary feature detection, and eigenvalue detection. Energy Detection (ED) does not...

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Application Information

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IPC IPC(8): H04B17/309H04B17/382H04B17/391
CPCH04B17/309H04B17/382H04B17/391
Inventor 李兵兵叶涛张俊林
Owner XIDIAN UNIV
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