Broadband compressed spectrum sensing method based on sub-band matching selection

A spectrum sensing and matching selection technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as insufficient fast sensing, poor reconstruction effect, and high computational complexity of convex relaxation algorithm

Active Publication Date: 2016-05-25
NINGBO UNIV
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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

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  • Broadband compressed spectrum sensing method based on sub-band matching selection
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Embodiment Construction

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0032] A wideband compressed spectrum sensing method based on sub-band matching selection proposed by the present invention, its overall realization block diagram is as follows figure 1 As shown, the perception user obtains a small amount of compressed sampling data y through the analog information converter t , the sparse signal in the frequency domain is reconstructed by the reconstruction algorithm Finally, the user perceives the user through the energy detection method Determine the occupancy state of each sub-band on the above, which specifically includes the following steps:

[0033] ①In a cognitive radio broadband network, assuming that the total bandwidth available in the frequency domain is B MHz, and the entire frequency band has been randomly assigned to J licensed users sequentially, then the sub-band occupied by the jth licens...

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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, Cognitive Radio (CR) technology emerged as the times require. Its main idea is to enable the Secondary User (SU) to opportunistically access idle frequency bands to realize the effective use of spectrum resources. Spectrum sensing is a key technology in cognitive radio technology. Its main purpose is to determine whether there is a free frequency band for access and utilization without interfering with authorized user (PrimaryUser, PU) communication. In cognitive radio broadband networks, sensing...

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Application Information

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IPC IPC(8): H04B17/382H04B17/336
CPCH04B17/336H04B17/382
Inventor 闫玉芝李有明余明宸付彩梅周桂莉
Owner NINGBO UNIV
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