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Wireless communication system frequency spectrum sensing method based on non-gaussianity measure

A wireless communication system and spectrum sensing technology, applied in transmission systems, transmission monitoring, electrical components, etc., can solve problems such as limited spectrum sensing capabilities, and achieve good spectrum sensing performance and effective detection.

Active Publication Date: 2015-02-18
LIAONING UNIVERSITY
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Problems solved by technology

[0005] Although the existing spectrum sensing methods can monitor the spectrum of a certain frequency band, the current methods require statistical knowledge such as known noise variance, so the spectrum sensing of small-scale wireless devices and low-power wireless devices (such as wireless microphones) limited ability

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  • Wireless communication system frequency spectrum sensing method based on non-gaussianity measure
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  • Wireless communication system frequency spectrum sensing method based on non-gaussianity measure

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Embodiment Construction

[0032] The implementation process of the present invention will be described in detail below in conjunction with the accompanying drawings and specific examples.

[0033] (1) if figure 1 As shown in FIG. 1 , cognitive users receive wireless signals in a certain frequency band through antennas. After processing by the cognitive user receiver, the baseband equivalent discrete-time received signal can be written as follows: x[n]=s[n]+v[n], n=1,2,...,N;

[0034] In the formula, s[n] represents the sampling value of the wireless signal transmitted by the authorized user through the channel, v[n] represents the corresponding noise sampling value, and N is the number of sampling points of the received signal.

[0035] (2) Divide the sampling value of the received signal at N points into M parts on average to obtain M sub-signals, each sub-signal contains N / M sampling points, and the i-th sub-signal can be expressed as x i [n]=x[n+(i-1)N / M], n=1,2,...,N / M, i=1,2,...,M.

[0036] (3)...

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Abstract

The invention provides a wireless communication system frequency spectrum sensing method based on non-gaussianity measure, and relates to the technical field of frequency spectrum sensing. The method includes the specific steps that a corresponding base-band equivalent discrete-time signal is obtained by means of a wireless signal received by a cognitive user antenna and is sectioned, so that sectional sub signals are obtained; fast fourier transform is carried out on the sectional sub signals, and a power spectrum of the received signal is obtained through calculation; by means of a harr wavelet function, two-layer wavelet multi-resolution decomposition is carried out on the power spectrum of the signal received by the cognitive user and a wavelet coefficient vector of the power spectrum of the received signal is constructed and obtained; then a steepness value of the wavelet coefficient vector is calculated; a non-gaussianity measure testing statistical magnitude of the wavelet coefficient vector of the power spectrum of the received signal is obtained through calculation; the test statistical magnitude is compared with a detection threshold value, if the test statistical magnitude is larger than the detection threshold value, it is indicated that an authorized user signal exists and otherwise, it is indicated that an authorized user does not exist. According to the method, known noise statistic information is not needed, good frequency spectrum sensing performance is attained while a low signal-to-noise ratio is achieved, and a small-scale small-power wireless communication device can be effectively detected.

Description

technical field [0001] The invention relates to a spectrum sensing method in cognitive radio technology, which can detect the presence of signals transmitted by authorized user wireless communication systems in a certain frequency band. Background technique [0002] With the rapid development of wireless communication technologies, wireless communication systems and devices have an increasing demand for spectrum resources. The use of various new wireless communication devices and the development of various wireless communication services make the existing method for dividing wireless spectrum resources more inflexible. How to use cognitive radio technology to dynamically manage and use spectrum resources is an effective way to solve the current shortage of spectrum resources. [0003] Cognitive radio technology can quickly find free frequency bands by intelligently sensing the spectrum resources occupied by existing wireless communication systems, and then by adjusting syst...

Claims

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Application Information

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IPC IPC(8): H04B17/382
Inventor 景源马利马技李鹏杨晓峰李皓宇牛斌
Owner LIAONING UNIVERSITY
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