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

A technology of compressed sensing and broadband spectrum, applied in the field of cognitive radio, which can solve the problems of noise uncertainty and enhance noise robustness

Active Publication Date: 2019-08-06
DALIAN UNIVERSITY
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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, and the method comprises the specific steps: carrying out the sparse representationof a signal through employing a discrete fractional Fourier transform (DFRFT) algorithm; secondly, reconstructing a sparse coefficient based on a multi-task compressed sensing technology of a hierarchical Bayesian probability model by sharing priori information of sparse coefficients among array element receiving signals, so as to obtain an original signal; and finally, carrying out frequency spectrum judgment on the frequency domain statistics based on the information entropy. According to the method, on one hand, the single-node detection capability can be improved, the measurement uncertainty is solved, the signal reconstruction precision is improved, on the other hand, the problem of noise uncertainty is solved, and the noise robustness of the system is enhanced.

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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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 UNIVERSITY
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