Spectrum sensing method based on correlation coefficients of multi-antenna system magnitude spectrum

Abstract

The invention discloses a spectrum sensing method based on the correlation coefficients of a multi-antenna system magnitude spectrum. The spectrum sensing method comprises the steps of sampling the signals of a monitoring channel by use of a plurality of receiving antennas to obtain sampled signals, calculating the magnitude spectrum of the sampled signal and then calculating the correlation coefficients of the magnitude spectrum, next, calculating test statistics, and finally, comparing the test statistics with a judgment threshold to judge whether the signal of an authorized user exists in the monitoring channel, thereby realizing spectrum sensing. When the different receiving antennas are different in noise power, the spectrum sensing method still has high spectrum sensing performance; in a frequency selective fading, the spectrum sensing method has better spectrum sensing performance than a method developed by Tugnait.

Description

Technical field [0001] The present invention relates to a cognitive radio spectrum sensing technology, in particular to a spectrum sensing method based on the correlation coefficient of the amplitude spectrum of a multi-antenna system. Background technique [0002] After the rapid development of wireless communication in recent decades, most of the available spectrum resources have been allocated to specific authorized users. In other words, even if these spectrum resources are in an idle state, unlicensed users cannot use it, which results in a large number of unlicensed users competing for a small amount of unlicensed frequency band resources. Various phenomena indicate that the current spectrum resources are increasingly scarce. However, studies have found that the utilization of spectrum resources allocated to authorized users is very low. The resource utilization rate of the licensed frequency band in space and time is between 15% and 85%, and its utilization rate is very ...

AI Technical Summary

Problems solved by technology

The energy detection method proposed by Urkowitz et al. has the characteristics of simple implementation and small amount of calculation, but the method has poor spectrum sensing performance when the noise power is unknown.

Recently, Tugnait proposed a frequency-domain covariance matrix-based method in "On multiple antenna spectrum sensing under noise variance uncertainty and flat fading" published in 2014 Spectrum sensing method, which has better spectrum sensing performance in flat fading channels, but poor spectrum sensing performance in frequency selective fading channels

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