An Energy-Detected Spectrum Sensing Method Using Past Sensing Slot Data

Abstract

The invention discloses an energy detection spectrum sensing method using past sensing time slot data. The signal is sampled multiple times, and one sample is obtained for each sampling; then the energy corresponding to the corresponding sensing time slot is calculated according to all the samples sampled in the corresponding sensing time slot; then the energy corresponding to all previous sensing time slots is calculated from small to Sorting in large order; then use the sorted energy to estimate the noise power; then calculate the test statistic according to the energy and noise power corresponding to the current sensing time slot; finally determine the current perception by comparing the test statistic with the judgment threshold. Whether there is an authorized user signal in the time slot; the advantage is that it does not need to know the noise power itself, and the perception performance is good.

Description

technical field [0001] The invention relates to a cognitive radio spectrum sensing technology, in particular to an energy detection spectrum sensing method using previous sensing time slot data. Background technique [0002] The rapid development of diversified mobile communication services has greatly enriched and facilitated people's work and life. However, correspondingly, the number of wireless devices and the demand for mobile data traffic have exploded, which has led to a shortage of spectrum resources. In recent years, the problem of shortage of spectrum resources has gradually emerged, and it will become more serious in the foreseeable future. However, this is not caused by insufficient physical spectrum resources, but because the existing fixed spectrum allocation strategy makes many spectrum resources unable to be fully utilized, which greatly reduces spectrum utilization. Therefore, improving spectrum utilization becomes the key to solving this problem. In respo...

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Problems solved by technology

[0003] At present, the energy detection method has been widely used in the spectrum sensing of cognitive radio. However, the traditional energy detection spectrum sensing method needs to know the noise power itself, but the noise power itself is often unknown in practice. When the noise power itself is unknown , the traditional energy detection spectrum sensing method uses an artificially set upper bound of the noise power to replace the noise power itself, which will cause the problem of noise power uncertainty, which will seriously degrade the performance of spectrum sensing

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