Cognition wireless broadband frequency spectrum compressed sensing method based on backtracking and centralized type cooperation

Abstract

The invention provides a cognition wireless broadband frequency spectrum compressed sensing method based on backtracking and centralized type cooperation. The method is characterized by comprising steps: firstly, respectively conducting reconfiguration of a compressed sensing part of each cognition wireless user; secondly, respectively conducting judgment for cognition wireless users, and transmitting judgment results to a data fusion center; and thirdly, according to a related algorithm, the data fusion center conducting summary fusion and giving global decision for uploaded frequency spectrum information. The method greatly improves spectrum sensing efficiency and accuracy of a broadband cognition wireless system, and simultaneously reduces complexity of the calculation by improving of a signal reconstructing algorithm in the process of compressed sensing and changing single user spectrum detection to centralized multi-user cooperation spectrum detection.

Description

technical field [0001] The invention relates to a spectrum sensing method based on retrospective compressed sampling matching and centralized multi-user cooperative detection in a cognitive radio system, and belongs to the technical field of communication. Background technique [0002] With the rapid development of the communication industry, while people are enjoying the convenient and efficient experience brought by wireless communication, the demand for wireless communication services has also increased suddenly. The biggest problem in the use of spectrum for wireless communication is the difficulty in allocating spectrum resources, which makes spectrum resources an indispensable and precious resource in today's society. [0003] Spectrum frequency bands can be divided into licensed frequency bands and unlicensed frequency bands. There are unbalanced and inefficient use of spectrum resources in the allocated licensed frequency bands and unlicensed frequency bands. First...

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Problems solved by technology

[0009] (1) Most broadband spectrum sensing technologies are based on the detection of a single cognitive radio user. Single-node sensing can well meet the requirements of cognitive radio when the detection time is long enough and the signal-to-noise ratio is large. However, in practice There are many unfavorable factors in the wireless environment, such as hidden terminals, multipath and shadows, etc., which makes the detection accuracy lack

[0010] (2) The most frequently used reconstruction algorithms in compressed sensing are MP, OMP and ROMP, etc. Their common disadvantage is that once the candidate atoms enter the support set candidates, they will never be deleted again, lacking the idea of ​​"backtracking". Such an atom selection mechanism is non-optimal, so it cannot guarantee the global optimality of the reconstruction to the greatest extent.

[0011] (3) In the wideband spectrum sensing based on compressed sensing, most methods need to perform the whole process of compressed sensing to completely reconstruct the spectrum of the wideband signal, and the computational complexity is relatively large

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