Broadband spectrum sensing method based on space-frequency joint compressed sensing

Abstract

The invention discloses a broadband spectrum sensing method based on a space-frequency joint compressed sensing. The method comprises the technology of synchronization of compressing and sampling and direct-acquisition of compressed data and wireless sensor network spectrum sensing technology, and constructs a spatial wavelet and a two-dimensional compaction of airspace and a frequency domain method. The broadband spectrum sensing method based on the space-frequency joint compressed sensing has the advantages of improving detection probability of a spectrum hole by perceiving double sparsity of electricity in airspace and frequency domain on the premise that a compression ratio is not increased.

Description

technical field [0001] The invention relates to a wideband spectrum detection method based on space-frequency joint compressed sensing, which belongs to the technical field of communication. Background technique [0002] In recent years, with the rapid development of wireless communication technology, the demand for spectrum resources of wireless communication services is also increasing. The traditional fixed spectrum allocation strategy can no longer meet the spectrum requirements of existing users. Cognitive radio aims to Under the premise of not affecting the normal communication of the primary user, the secondary user can share and use the idle spectrum through dynamic spectrum access to solve the problem of lack of spectrum resources. [0003] The core idea in cognitive radio is that the secondary user has the ability to discover spectrum holes and use them rationally. The secondary user searches for the spectrum holes with the help of existing radio technology, uses b...

AI Technical Summary

Problems solved by technology

The commonly used technology in radio detection equipment is to use multiple sets of filters, or add an adjustable narrow-band filter to its RF front-end, which requires adjustable center frequency of the filter, and is limited to only one frequency band at a time. detection, and the range of each filter frequency band is relatively fixed, it is difficult to meet the high real-time detection requirements in cognitive radio

[0005] If the frequency spectrum of the whole wide frequency range is directly scanned, a high-speed analog-to-digital conversion device (ADC) is required. Although it is developing rapidly and its sampling rate is also continuously increasing, compared with the ultra-wide frequency band up to several GHz in cognitive radio, according to Nyquist sampling theorem, such a high-speed ADC is difficult to achieve in terms of technology and cost, so it is also difficult to complete the task of real-time broadband detection

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