A Matched Filter Spectrum Sensing Method Against Noise Uncertainty

Abstract

The invention discloses a matched filtering spectrum sensing method against noise indeterminacy. The method comprises following steps of carrying out bandpass filtering and down-conversion processing to radio frequency signals which are received by an antenna and have continuous time domains, thus obtaining corresponding baseband signals with the continuous time domains; then carrying out time domain sampling processing to the baseband signals with the continuous time domains, thus obtaining the baseband signals with discrete time domains; then carrying out matched filtering processing to the baseband signals with the discrete time domains, thus obtaining sample values output after matched filtering processing; calculating a noise power according to all sampling values in the baseband signals with discrete time domains and all sample values output after matched filtering processing; calculating test statistics according to the noise power; calculating a judgment threshold according to the noise power and a set false alarm probability; finally comparing the test statistics with the judgment threshold; and judging whether other wireless communication service occupies channels. The method has the advantages that the precise value of the noise power is unnecessarily known, and the relatively high test performance still can be realized when there is noise indeterminacy.

Description

technical field [0001] The invention relates to a spectrum sensing technology in a cognitive radio system, in particular to a matched filter spectrum sensing 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 sens...

AI Technical Summary

Problems solved by technology

However, when setting the decision threshold, the existing matched filter spectrum sensing method needs to know the precise value of the noise power

However, in the actual environment, the precise value of the noise power is unknown, that is, there is noise uncertainty

When noise uncertainty exists, the detection performance of existing matched filter spectrum sensing methods will drop sharply

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