Spectrum sensing method, device, equipment and system, and readable storage medium

Abstract

The invention discloses a frequency spectrum sensing method, which comprises the following steps of acquiring radio sampling signals; carrying out noise reduction processing on the sampling signals inorder to obtain noise reduction signals; carrying out splitting and recombination on the noise reduction signals according to a DAR splitting and recombination technology in order to obtain two signal matrixes; respectively computing a difference of a maximum eigenvalue and a minimum eigenvalue according to the eigenvalues of the two signal matrixes in order to obtain a two-dimensional eigenvalue; and carrying out feature classification and division on the two-dimensional eigenvalue in order to obtain a classification result of the radio sampling signals. According to the method, the signalsare subjected to DAR splitting and recombination, and then signal feature information is extracted through THE DMM, the detection performance of a spectrum can be better improved under a condition that the number of cognitive users is small and a signal-to-noise ratio is low, the spectrum sensing performance is improved, the spectrum sensing effect is optimized, and accurate classification of thesampling signals is achieved. The invention further discloses a spectrum sensing device, equipment and system and a readable storage medium, which have the beneficial effects.

Description

technical field [0001] The present invention relates to the radio field, in particular to a spectrum sensing method, device, equipment, system and a readable storage medium. Background technique [0002] With the rapid development of science and technology and the information age, wireless communication systems have penetrated into various fields and played an increasingly important role in social and economic development. The total spectrum resources are limited and precious. At present, my country's spectrum resources are authorized and allocated by the state, and authorized users and primary users can legally use the frequency band. However, with the rapid growth of demand for wireless communication services, more and more unlicensed users, that is, secondary users, also need to work in the frequency band, but the spectrum resources are not enough for full allocation, and the problem of spectrum scarcity in society is becoming increasingly serious. [0003] Cognitive rad...

AI Technical Summary

Problems solved by technology

Matched filtering has high precision and short time, but the calculation complexity is high, and it is only suitable for occasions where CR nodes know prior information

Classical energy detection does not require prior information and requires a preset decision threshold, which is difficult to determine; it is easily affected by noise, and in low signal-to-noise ratio environments and uncertain noise environments, misjudgments are prone to occur, resulting in a sharp decline in detection performance , the detection time is long

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