Spectrum sensing method based on polarizability

Abstract

The invention provides a spectrum sensing method based on polarizability, which is suitable for cognitive radio networks. The method comprises the following steps of: setting a system detection threshold, continuously sampling space electromagnetic signals, estimating a covariance matrix of the received signals, obtaining the polarizability of the received signals based on a characteristic value of the covariance matrix, thereby, judging existence of electromagnetic signals according to the polarizability difference between signals and noises. The method can realize application of polarization information of electromagnetic signals of authorized users, and effectively solves the problem of indeterminacy of noise in practice; the polarizability is obtained based on a sampling covariance matrix of the received signals, and detection can be performed without using the prior knowledge of signals, channels or noises; the method is suitable for small sample detection, and can reduce computational complexity, improve detection speed of the system to the electromagnetic signals and reduce detection time of the system to the electromagnetic signals. Thus, the method can meet the requirement on real-time detection, and is beneficial for efficient usage of limited radio spectrum resource.

Description

Technical field [0001] The invention belongs to the field of wireless communication, and particularly relates to a spectrum sensing method of cognitive radio. Background technique [0002] With the development of wireless communication technology, people's demand for wireless spectrum resources is increasing. However, the wireless spectrum is a non-renewable precious resource. Making full use of spectrum resources and improving spectrum utilization to meet the ever-increasing wireless communication services are problems to be solved in the wireless communication field. Cognitive radio (CR, Cognitive radio) technology, as an intelligent spectrum sharing technology, can effectively solve the contradiction between the lack of spectrum resources and the growing business volume. In the CR system, unlicensed users (CR users) with cognitive functions need to quickly and accurately perceive unoccupied authorized user frequency bands, and realize dynamic spectrum access without affectin...

AI Technical Summary

Problems solved by technology

However, traditional spectrum sensing methods are based on the analysis of the amplitude, phase or frequency information of the received signal, but the polarization information that can also reflect the essential properties of the signal has not been applied, which has caused a great loss in the use of the inherent information of the signal

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