Robust spectrum sensing method and device based on differential characteristic values and computer storage medium

Abstract

The embodiment of the invention discloses a robustness spectrum sensing method and device based on differential characteristic values and a computer storage medium. The method can be applied to receiving end equipment with a plurality of receiving antennas at a cognitive user. The method comprises the following steps: acquiring all characteristic values corresponding to a received sample covariance matrix constructed by received data; constructing test statistics based on the maximum characteristic value in all characteristic values corresponding to the received sample covariance matrix and the rest characteristic values except the maximum characteristic value; obtaining a k-order moment corresponding to the maximum characteristic value; obtaining a first moment and a second moment of a trace of the received sample covariance matrix; determining a sensing threshold according to the k-order moment corresponding to the maximum eigenvalue and the first-order moment and the second-order moment of the trace of the received sample covariance matrix; and judging the working state of the authorized user according to the test statistics and the perception threshold.

Description

technical field [0001] Embodiments of the present invention relate to the field of wireless communication technologies, and in particular to a method, device and computer storage medium for robust spectrum sensing based on differential eigenvalues. Background technique [0002] The rapid development of wireless communication technology and the proliferation of wireless communication devices have made the originally limited spectrum resources more scarce. However, the current fixed and static spectrum allocation methods lack full utilization of spectrum resources in the frequency domain and time domain, resulting in extremely low utilization of the existing allocated spectrum bandwidth, and even some spectrum resources are not utilized. In order to alleviate the contradiction between the scarcity of spectrum resources and the low utilization rate, cognitive radio technology came into being. The key task of cognitive radio technology is spectrum sensing, that is, through spec...

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Problems solved by technology

Correlated multi-antenna spectrum sensing methods can include: multi-antenna-based generalized likelihood ratio testing method, which can achieve good detection performance with a small number of samples; multi-antenna-assisted progressive energy detection method, the method The test statistic is formulated by using the empirical eigenfunction of the observed sample vector; the multi-antenna-based maximum eigenvalue spectrum sensing method uses the maximum eigenvalue of the sample covariance as the test statistic and compares it with the preset threshold to obtain the status of the licensed frequency band. The method is a blind detection algorithm that cannot fight against noise uncertainty; the multi-antenna energy ratio maximum eigenvalue spectrum sensing method uses the ratio of energy to maximum eigenvalue as a test statistic for spectrum sensing, which can effectively fight against noise uncertainty degree, but this method does not make full use of all the information of the received signal, resulting in the loss of part of the effective information of the received signal, resulting in a decline in perceptual performance, and poor perceptual robustness to noise uncertainty

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