Data selection-based frequency spectrum sensing method used under pulse interference environment

Abstract

The invention discloses a data selection-based frequency spectrum sensing method used under a pulse interference environment, which comprises the steps as follows: firstly, an antenna in a cognitive radio system repeatedly executes time-domain sampling aiming at a signal in a monitoring channel; secondly, an absolute value discrete value of the signal of each time domain sampling point is computed, and each discrete value in a first absolute value discrete value sequence formed by all discrete values is compared with the average value of all the discrete values, when two or more than two continuous discrete values in the first absolute value discrete value sequence are large than the average value of the discrete values by three times, and the discrete values with interference pulse are removed; thirdly, the inspection statistical quantity of a second absolute value discrete value sequence formed by all discrete values without pulse interference is computed; and lastly, the sizes of the inspection statistical quantity and a decision threshold are compared, and whether the monitoring channel is idle or not is judged according to a comparison result. The method disclosed by the invention effectively solves a problem that the false alarm probability is increased owing to existing pulse interference, and improves the utilization ratio of frequency spectrum resources.

Description

technical field [0001] The invention relates to a spectrum sensing technology in a cognitive radio system, in particular to a spectrum sensing method based on data selection in a pulse interference environment. Background technique [0002] With the emergence of more and more wireless communication services, limited spectrum resources are becoming more and more scarce. However, in reality, a large number of physical spectrum resources assigned to specific communication services are idle in many times and spaces, which indicates that the current shortage of spectrum resources is not caused by the lack of physical spectrum resources, but by fixed Spectrum resource allocation policy caused. The proposal of cognitive radio provides a feasible idea for improving spectrum utilization, that is, to effectively utilize the licensed frequency bands in the idle state, but before using these licensed frequency bands in the idle state, it is necessary to effectively detect which license...

AI Technical Summary

Problems solved by technology

However, when there is pulse interference caused by lightning, car ignition, etc., the false alarm probability of the existing spectrum sensing method will increase sharply, which will seriously reduce the utilization rate of spectrum resources.

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