A Wideband Spectrum Sensing Method Based on Adaptive Compressed Sensing

Abstract

The present invention relates to the technical field of radio communication, in particular to a broadband spectrum sensing method based on adaptive compressed sensing, which includes dividing a sensing time slot into a fixed sensing sub-slot and several adaptive sensing sub-slots; The frequency range is divided into several wide frequency bands. According to the communication requirements and the known spectrum resources, only one optional wide frequency band is adaptively selected as the frequency band to be sensed each time; the sampling is compressed on the fixed sensing sub-slots to obtain the fixed sensing sub-slots. The observation vector on the time slot is used for the initial signal spectrum reconstruction; the sampling is compressed on the adaptive sensing sub-slot, the observation vector is updated, and the spectrum reconstruction is performed using the result of the previous sensing sub-slot; to determine whether the convergence condition is satisfied, If it is not satisfied, continue to perform compressed sensing on the next adaptive sensing sub-slot, and if it is satisfied, the adaptive sensing process will be terminated; finally output the spectrum sensing result, and the remaining adaptive sensing sub-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...

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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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