A Wideband Compressed Spectrum Sensing Method Based on Subband Matching Selection

Abstract

The invention discloses a broadband compressed spectrum sensing method based on sub-band matching selection. In a spectrum sensing stage, a secondary user carries out compressed sampling to received analog signals through an analog information converter, thus obtaining few compressed sampling data; frequency domain sparsity signals corresponding to the signals obtained by carrying out Nyquist sampling to the analog signals are reconstructed through an iteration mode; then the secondary user judges the occupation state of each sub-band on the reconstructed frequency domain sparsity signals by an energy detection method; the method has the advantages that the single frequency point matching selection is changed into the sub-band matching selection; the sub-bands of a primary user can be determined; the iterations of the algorithms in the spectrum reconstruction can be greatly reduced; the spectrum reconstruction time is shortened; the residual errors are updated by a regularized least square method; therefore, the spectrum reconstruction accuracy and robustness can be further improved; and the broadband spectrum sensing performance is improved.

Description

technical field [0001] The invention relates to a wideband spectrum sensing method in cognitive radio, in particular to a wideband compressed spectrum sensing method based on sub-band matching selection. Background technique [0002] As the demand for wireless communication services increases, available radio spectrum resources become increasingly scarce; however, most of the authorized spectrum is not fully utilized, resulting in low spectrum utilization. Based on this phenomenon, the Cognitive Radio (CR) technology came into being, and its main idea is to realize the effective use of spectrum resources by allowing the Secondary User (SU) to opportunistically access the idle frequency band. Spectrum sensing is a key technology in cognitive radio technology. Its main purpose is to determine whether there is a vacant frequency band for access and utilization without interfering with authorized user (Primary User, PU) communication. In cognitive radio broadband networks, sens...

AI Technical Summary

Problems solved by technology

These algorithms can achieve good reconstruction performance under certain conditions, but there are also some shortcomings. The convex relaxation algorithm has high computational complexity and takes a long time, which is especially insufficient when quickly sensing the entire broadband spectrum; the greedy iterative algorithm Under the condition of low signal-to-noise ratio, the reconstruction effect is poor

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