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

A cognitive radio and cooperative cognitive technology, applied in the field of spectrum sensing, can solve problems such as lack of "backtracking" thinking, high computational complexity, and non-optimality, so as to improve the efficiency and accuracy of spectrum sensing and improve the efficiency of spectrum detection , the effect of reducing complexity

Inactive Publication Date: 2013-06-05
DONGHUA UNIV
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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....

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

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Embodiment Construction

[0035]In order to make the present invention more comprehensible, preferred embodiments are described in detail below with accompanying drawings.

[0036] The following combination figure 1 The implementation method of the present invention is described in detail:

[0037] The first part: Perform compressed sensing partial reconstruction for each cognitive radio user. For the kth cognitive radio user, the steps are:

[0038] (1), perform sparse transformation on the original broadband signal

[0039] Let the original signal x of the kth cognitive radio user be k is the field of real numbers R N×1 A one-dimensional finite-length discrete signal of x k ∈R N×1 . x k It is sparse or compressible on an orthogonal basis Ψ, and the orthogonal basis Ψ is an N×N matrix, then the original signal x k can be generated by a linear combination of all column vectors in the orthonormal basis Ψ, namely:

[0040] x k = Σ ...

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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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Application Information

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IPC IPC(8): H04B17/00H04L1/06H04B17/336H04B17/382
Inventor 陈悦吴赟袁振
Owner DONGHUA UNIV
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