A Cyclic Feature Detection Method Against Noise Uncertainty

Abstract

The invention discloses a cyclic characteristic detection method against noise uncertainty, wherein band-pass filtering and down-conversion processing are carried out to time-domain continuous radio-frequency signals received by an antenna, so that corresponding time-domain continuous intermediate-frequency signals are obtained; time-domain sampling processing is carried out to the time-domain continuous intermediate-frequency signals, so that corresponding time-domain discrete intermediate-frequency signals are obtained; a discrete cyclic frequency and a cyclic spectrum value corresponding to the discrete frequency are calculated according to all the sampling values in the time-domain discrete intermediate-frequency signals; a judgment threshold is obtained according to the cyclic spectrum value and a preset false alarm probability, and a test statistical amount is obtained according to the cyclic spectrum value; and at last, the test statistical amount is compared with the judgment threshold, so that whether other wireless communication services occupy communication channels is determined. The method has the advantages that an accurate noise power value does not need to be known during setting of the judgment threshold; and the method still has good detection performance when the accurate noise power value is unknown, namely the noise uncertainty exists.

Description

technical field [0001] The invention relates to a spectrum sensing technology in a cognitive radio system, in particular to a cyclic feature detection method against noise uncertainty. Background technique [0002] With the rapid growth of wireless communication services, people's demand for spectrum resources continues to increase, and the phenomenon of lack of spectrum resources becomes more and more serious. On the one hand, the rapid development of wireless communication services and the continuous emergence of various systems, protocols, and networks require more equipment to use radio spectrum; Spectrum resources cannot be used effectively. Therefore, the fixed allocation strategy of spectrum resources is one of the main reasons for the lack of spectrum resources. Cognitive radio technology can effectively improve the utilization rate of spectrum resources, and is one of the main solutions to realize the dynamic allocation of spectrum resources. Spectrum sensing is ...

AI Technical Summary

Problems solved by technology

However, existing recurrent feature detection methods are not robust to noise uncertainty, that is, the detection performance of existing recurrent feature detection methods will drop sharply when there is noise uncertainty

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