A method and system for multi-antenna spectrum sensing under alpha stable noise fading channel

Abstract

The invention belongs to the technical field of cognitive radio in communication. The invention discloses a multi-antenna spectrum sensing method under an alpha stable noise fading channel, and the method comprises the following steps: firstly carrying out the continuous sampling of a multi-antenna receiving signal, and forming a receiving signal vector; calculating a fractional low-order covariance matrix of the multi-antenna receiving signals on the basis, and constructing two different detection statistics; and finally, when the detection statistics are greater than or equal to the detection threshold, judging that the main user exists, otherwise, judging that the main user does not exist. When the mixed signal-to-noise ratio is-8dB or above, the detection accuracy of the detection method based on the two different detection statistics can reach 100%, so that the detection method based on the two different detection statistics has good spectrum sensing performance.

Description

technical field [0001] The invention belongs to the technical field of cognitive radio in communication, and in particular relates to a multi-antenna spectrum sensing method and system under an alpha stable noise fading channel. Background technique [0002] At present, the closest existing technology: with the rapid development of wireless communication technology and the increasing demand for communication services, the problem of scarcity of spectrum resources is becoming more and more serious. Cognitive radio adopts a dynamic spectrum access mechanism, which allows unauthorized secondary users to use the spectrum resources to transmit data on the premise that the spectrum resources are not used by the primary user, effectively improving spectrum utilization. Spectrum sensing is a core technology in the physical layer of cognitive radio and a key issue in the field of cognitive radio research. Most of the current studies are based on the assumption of Gaussian noise, but...

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Problems solved by technology

[0003] To sum up, the problem existing in the prior art is: the current multi-antenna spectrum sensing recognition method has a low signal-to-noise ratio and a low frequency detection success rate in the alpha stable distributed noise fading channel environment

[0005] Since the alpha-stable distribution probability density function has no uniform closed expression except for a few special exceptions, it has thick tailing characteristics, and its second-order statistics and higher-order statistics do not exist. Therefore, the classic spectrum sensing method in alpha It is not applicable in the environment of stable distributed noise fading channel, and the perception performance is obviously reduced

However, the current spectrum sensing method in the environment of alpha-stable distributed noise fading channel is susceptible to the influence of noise uncertainty in the case of low signal-to-noise ratio, resulting in a low success rate of spectrum detection.

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