Cooperative spectrum sensing method and related device

Abstract

The invention discloses a cooperative spectrum sensing method. The method comprises the following steps: decomposing known signals according to a zero-space tracking algorithm to obtain a plurality ofsub-signals, and combining the plurality of sub-signals to obtain a sub-signal matrix; and extracting signal features on the basis of the sub-signal matrix, then performing feature clustering training and learning, and classifying the unknown signals according to an obtained classification model. The known signals are decomposed into the plurality of sub-signals through the zero-space tracking algorithm, and the signal features are extracted on the basis of the sub-signals, which is equivalent to decomposing the complicated known signals into a plurality of simple sub-signals, thus the feature extraction is facilitated, the accuracy of the feature extraction is improved, and then the accuracy and precision of spectrum sensing are improved. The invention further discloses a cooperative spectrum sensing system, a cooperative spectrum sensing device and a computer readable storage medium, which have the above beneficial effects.

Description

technical field [0001] The present application relates to the field of radio technology, and in particular to a cooperative spectrum sensing method, a cooperative spectrum sensing system, a cooperative spectrum sensing device, and a computer-readable storage medium. Background technique [0002] With the advancement of radio technology and the development of social economy, all walks of life and consumers have more and more demands on radio frequencies, but in the actual environment, radio spectrum resources are limited, making spectrum resources more and more scarce. [0003] At present, the spectrum resource adopts the management mode of national unified allocation and authorization, and the spectrum is divided into two types: authorized frequency band and unlicensed frequency band. Among them, licensed frequency bands occupy most of the spectrum resources, such as TV broadcasting frequency bands, but many licensed frequency bands are still idle. In addition, the unlicens...

AI Technical Summary

Problems solved by technology

[0005] However, the signal is decomposed through the empirical mode, and the determination of the various parameters needs to be judged according to a certain amount of manual experience, and the accurate signal decomposition parameters cannot be obtained, which reduces the accuracy of the method.

Especially in a complex environment, it is impossible to better decompose the signal, so that the empirical mode decomposition method cannot achieve the desired effect and reduce the performance of spectrum sensing

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