Spectrum sensing method and system for mimo system under non-Gaussian noise

Abstract

The invention belongs to the technical field of spectrum sensing in wireless communication, and discloses a spectrum sensing method for a MIMO system under non-Gaussian noise. A nonlinear kernel function is used to perform kernel mapping on an observation matrix x to obtain a kernel space matrix K x ; based on the kernel space matrix K x Constructing the detection statistic T K ; Calculate the threshold η K , the detection statistic T K with the threshold η K make a comparison; if T K <η K , it is judged that the primary user signal exists; otherwise, it is judged that the primary user signal does not exist. The invention can effectively realize the spectrum sensing of the MIMO system under the condition of non-Gaussian noise, and has better performance under the condition of low signal-to-noise ratio. When the signal-to-noise ratio is higher than -10dB, the correct detection probability reaches more than 90%, and the method of the present invention also has good performance for Gaussian noise. It can be seen that the spectrum sensing effect of the present invention is better. Compared with the existing algorithm, the detection performance of the method proposed in the present invention increases with the increase of the number of antennas, and the performance of the algorithm can be improved by increasing the number of antennas.

Description

technical field [0001] The invention belongs to the technical field of spectrum sensing in wireless communication, and in particular relates to a spectrum sensing method and system of a MIMO system under non-Gaussian noise. Background technique [0002] At present, the closest existing technology: Spectrum sensing technology is the key technology of cognitive radio network, and it is the basis for cognitive radio network to realize spectrum dynamic planning and improve spectrum utilization. Cognitive radio networks use spectrum sensing technology to explore unused spectrum resources and allow sensing users to use the spectrum authorized to primary users without interfering with the normal communication of primary users, thereby greatly improving spectrum utilization. However, in the process of spectrum sensing, false alarms or missed detections usually occur. Too high false alarms will lead to a decrease in spectrum utilization, and the occurrence of missed detections will c...

AI Technical Summary

Problems solved by technology

[0006] (1) The existing spectrum sensing technology has poor detection performance under the condition of non-Gaussian noise, and there are few literatures mentioning the spectrum sensing method of MIMO system under mixed Gaussian noise

[0007] (2) The existing spectrum sensing method for MIMO systems under non-Gaussian noise has low detection reliability under the condition of low signal-to-noise ratio

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