Full-duplex spectrum sensing method

Abstract

The invention belongs to the technical field of communication, and discloses a full-duplex spectrum sensing method, which comprises the following steps of: sampling by using a sensing antenna to obtain a signal sample matrix; calculating a k-order sample moment and a k-order sample cumulant of the sample matrix; constructing a matrix of t * M-dimensional sample cumulants; whether the cognitive node carries out the communication service or not is divided into two conditions: the cognitive node only carries out spectrum sensing and does not have the communication service, and the cognitive node carries out the communication service and the spectrum sensing at the same time; constructing test statistics of the two conditions; respectively obtaining judgment thresholds of the two conditions according to an NP criterion; and determining the state of the authorized node according to the judgment criterion. According to the method, rich statistical characteristics of sample signals are extracted through high-order cumulants, hoteling T2 statistics are adopted as test statistics according to the characteristics of a characteristic matrix in the hypothesis test construction process, the calculation complexity is reduced, and a simulation result supports an expected effect.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a full-duplex spectrum sensing method. Background technique [0002] At present, under the background of large-scale commercial use of 5G technology, IoT technology provides a rich application platform for a large number of wireless devices and intelligent services. However, as the number of IoT nodes connected by wireless communication is increasing day by day, the demand for frequency usage of IoT systems is skyrocketing, and spectrum is a non-renewable precious resource, all of which lead to the increasingly severe problem of spectrum scarcity in IoT scenarios . In order to solve the problem of spectrum scarcity, cognitive IoT technology has been applied to IoT systems, aiming to improve spectrum efficiency and solve the problem of spectrum scarcity. [0003] Cognitive radio technology can allow cognitive IoT nodes to opportunistically utilize underused lic...

AI Technical Summary

Problems solved by technology

[0020] Aiming at the problems existing in the prior art, the present invention provides a full-duplex spectrum sensing method, especially relates to a system based on Hotelling T 2 Statistical full-duplex spectrum sensing method, system, device, medium and terminal, aiming to solve the problems of existing technologies such as being greatly affected by noise, not considering non-Gaussian characteristics of signals, and high computational complexity

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