Spectrum sensing method and device in cognitive wireless network

Abstract

The invention discloses a spectrum sensing method and device in a cognitive wireless network. The method comprises the following steps: sampling a noise environment to obtain a first sampling matrix, and obtaining a corresponding first covariance matrix based on the first sampling matrix; sampling a wireless signal to be sensed to obtain a second sampling matrix, and obtaining a second covariance matrix based on the second sampling matrix; calculating a geometric distance between a first coordinate point and a second coordinate point by adopting a statistical manifold measurement method, wherein the first covariance matrix and the second covariance matrix separately correspond to the first coordinate point and the second coordinate point of a statistical manifold, and the statistical manifold is established based on Gaussian distribution; judging whether the geometric distance is greater than a preset threshold, if yes, determining that a signal exists in the wireless signal to be sensed, and otherwise, determining that only noises exist in the wireless signal to be sensed; and setting the preset threshold based on the false alarm probability. According to the spectrum sensing method and device disclosed by the invention, the wireless signal to be sensed can also be sensed even under relatively low signal-to-noise ratios during use, and the spectrum sensing efficiency can be improved.

Description

technical field [0001] The present invention relates to the technical field of spectrum sensing, in particular to a spectrum sensing method and device in a cognitive wireless network. Background technique [0002] With the increasing demand for wireless spectrum resources and the rapid development of wireless communication technologies, wireless spectrum resources are becoming increasingly scarce. Cognitive radio is a key technology of wireless communication, and spectrum sensing plays an important role in cognitive radio technology. In the process of utilizing wireless spectrum resources, improving the efficiency of spectrum sensing is beneficial to improving the utilization rate of wireless spectrum resources. Existing spectrum sensing methods have high requirements for signal-to-noise ratio, that is, the presence of signals can only be perceived when the signal-to-noise ratio is high, and it is impossible to effectively perceive whether there is a signal from noise with ...

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Problems solved by technology

Existing spectrum sensing methods have high requirements on the signal-to-noise ratio, that is, the presence of signals can only be perceived when the signal-to-noise ratio is high, and it is impossible to effectively perceive whether there is a signal from the noise with a low signal-to-noise ratio , resulting in low efficiency of spectrum sensing in existing spectrum sensing methods

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