Broadband spectrum sensing method based on self-adaptive compressed sensing

Abstract

The invention relates to the technical field of radio communication, in particular to a broadband spectrum sensing method based on self-adaptive compressed sensing. The broadband spectrum sensing method comprises the following steps: a sensing time slot is divided, that is, the sensing time slot is divided into a fixed sensing sub-time slot and a plurality of self-adaptive sensing sub-time slots; a frequency range is divided into a plurality of broad frequency ranges, and a selectable broad frequency range is selected in a self-adaptive manner as a frequency range to be sensed each time according to communication requirements and known spectrum resource conditions; compressed sampling is carried out on the fixed sensing sub-time slot, an observation vector on the fixed sensing sub-time slot is obtained, and primary signal spectrum reconstruction is carried out; compressed sampling is carried out on each self-adaptive sensing sub-time slot, the observation vector is updated, and spectrum reconstruction is carried out based on the result of the previous sensing sub-time slot; whether convergence conditions are satisfied or not is judged, compressed sampling is continued on the next self-adaptive sensing sub-time slot if the convergence conditions are not satisfied, and the self-adaptive sensing process is ended if the convergence conditions are satisfied; the spectrum sensing result is finally output, and residual self-adaptive sensing sub-time slot resources can still be used for normal communication.

Description

technical field [0001] The invention relates to the technical field of radio communication, in particular to a wideband spectrum sensing method based on adaptive compressed sensing. Background technique [0002] In the prior art, traditional spectrum sensing methods include energy detection sensing, matched filter sensing, and cyclostationary feature sensing. Spectrum sensing methods introduced in scientific and technological documents and patent documents at home and abroad in China belong to the above categories. With the widespread application of broadband wireless networks, wireless communication systems work on higher and wider frequency bands, and sensing devices must have broadband spectrum detection capabilities, and the bandwidth may be as high as gigahertz. The traditional method does not have the sensing ability in the broadband spectrum range. The wider the detection frequency band, the higher the sampling rate and processing speed required, and the greater the t...

AI Technical Summary

Problems solved by technology

The above methods are self-adaptive, can improve the sensing efficiency to a certain extent, and have adaptability to the environmental spectrum sparsity, but both methods need to estimate the spectrum sparsity before performing spectrum sensing; The accuracy and threshold of sparsity estimation are sensitive, and it is not direct enough, difficult and reliable in practical applications

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