Multi-antenna broadband spectrum detection method based on compressed sensing and entropy

A compressed sensing and wideband spectrum technology, applied in the field of cognitive radio, can solve the problems of noise uncertainty, enhance noise robustness, etc., and achieve the effect of solving noise uncertainty, enhancing system noise robustness, and good detection performance

Active Publication Date: 2021-08-17
DALIAN UNIV
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Problems solved by technology

On the one hand, this method can improve the single-node detection ability, solve the measurement uncertainty, and improve the signal reconstruction accuracy; on the other hand, it solves the problem of noise uncertainty and enhances the noise robustness of the system

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  • Multi-antenna broadband spectrum detection method based on compressed sensing and entropy
  • Multi-antenna broadband spectrum detection method based on compressed sensing and entropy
  • Multi-antenna broadband spectrum detection method based on compressed sensing and entropy

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Embodiment Construction

[0074] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0075] This embodiment proposes a multi-antenna broadband spectrum detection method based on compressed sensing and entropy. The specific steps of the method are:

[0076] S1: Establish a received signal model

[0077] Assume that there is a broadband Chirp-like interference signal x composed of W components in the space W Incidence to a uniform linear array with Q array element, then the i-th array element receives the signal at the sampling interval Δt can be expressed as:

[0078] the y i (n)=x Wi (n)+e i (n), (i=1,2,...,Q) (1)

[0079] Among them, n=0,1,...,L-1, e i (n) is a noise signal.

[0080] Based on formula (1), using the decomposed discrete FRFT (DFRFT) algorithm proposed by Ozaktas to perform L-point DFRFT transformation on it...

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Abstract

The invention discloses a multi-antenna broadband spectrum detection method based on compressed sensing and entropy. The specific steps include firstly, using the discrete fractional Fourier transform (DFRFT) algorithm to sparsely represent the signal; The prior information of the sparse coefficients between the signals, based on the multi-task compressed sensing technology of the hierarchical Bayesian probability model, reconstructs the sparse coefficients to obtain the original signal; finally, the frequency domain statistics are calculated based on the information entropy. judgment. On the one hand, this method can improve the single-node detection ability, solve the measurement uncertainty, and improve the signal reconstruction accuracy; on the other hand, it solves the problem of noise uncertainty and enhances the noise robustness of the system.

Description

technical field [0001] The invention belongs to the field of cognitive radio, and in particular relates to a multi-antenna broadband spectrum detection method based on compressed sensing and entropy. Background technique [0002] In order to adapt to the new forms and new ideas of future electronic warfare development, to form real-time, accurate and effective capabilities against intelligent electronic warfare equipment on the future battlefield, and to master electromagnetic control in the complex electromagnetic environment in the future, further exploration and research on intelligent Cognitive electronic warfare technology is particularly important. Cognitive Radio (CR) is a smart radio technology. Through real-time spectrum sensing, its nodes can detect interference-free frequency bands for communication, so as to achieve information security and reliable transmission. Among many spectrum detection algorithms, the Energy Detection (ED) algorithm is widely used because...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/382H04B17/391
CPCH04B17/382H04B17/391
Inventor 丁元明刘敏提刘春玲张然杨阳潘成胜
Owner DALIAN UNIV
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