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Method for classifying digital modulation signal in cognitive network

A digital modulation signal and classification method technology, applied in the field of cognitive radio, can solve the problem that the accuracy of digital modulation signal classification needs to be improved

Inactive Publication Date: 2015-02-18
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is no specific method for feature selection of digital modulation signal classification. When the features have been determined, only through simulation calculations can it be determined whether it is optimal. The classification accuracy of digital modulation signals needs to be improved.

Method used

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  • Method for classifying digital modulation signal in cognitive network
  • Method for classifying digital modulation signal in cognitive network
  • Method for classifying digital modulation signal in cognitive network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0028] figure 1 It is a functional block diagram of a specific embodiment of the method for classifying digital modulation signals in the cognitive network of the present invention.

[0029] In this example, if figure 1 As shown, the digital modulation signal is transmitted to the receiver through the channel. The channel model adopts two channel models of Gaussian channel or Rayleigh channel, and the received digital modulation signal is x(t).

[0030] For the received digital modulation signal x(t)=A(t) s(t)+n(t), where s(t) is the source signal, that is, the digital modulation signal of the sender, A(t) is determined by the channel The model determines that n(t) is the noise

[0031] a1. Gaussian channel model

[0032] Under the Gaussian model, A(t) is a constant, n(t) is a function subject to Gaussian distribution, and the signal-to-noise ratio determines its value.

[0033] a2. Rayleigh channel model

[0034] For Rayleigh fading channel, then for sampling point s i ...

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Abstract

The invention discloses a method for classifying digital modulation signal in a cognitive network, aiming at classification of the digital modulation signal in the cognitive network, and providing a novel modulation classifying method based on db5(5daubechies) wavelet transform and fractional Fourier transform. In the invention, firstly, the digital modulation signal is subjected to the db5(5daubechies) wavelet transform and fractional Fourier transform to obtain a data distribution condition; and the data distribution condition is used as a classifying characteristic, and a modulation mode of the digital modulation signal is determined, proved through tests, compared with the traditional method, the method is higher in performance, higher in classification accuracy rate under the same signal-to-noise environment, is suitable for classification of a digital modulation signal under a Gaussian channel, and is also suitable for classification of a digital modulation signal under a Rayleigh channel.

Description

technical field [0001] The invention belongs to the field of cognitive radio technology, and more specifically, relates to a method for classifying digital modulation signals in a cognitive network. Background technique [0002] The radio frequency spectrum is a valuable natural resource and its allocation is usually determined by radio regulatory authorities. At present, countries all over the world adopt the principle of fixed frequency spectrum allocation. With the continuous growth of wireless communication demand, people's demand for communication speed is also getting higher and higher. According to Shannon's theory, the higher the communication rate, the wider the spectrum bandwidth required by the communication system, resulting in increasingly tight spectrum resources suitable for wireless communication. On the other hand, surveys show that the utilization rate of spectrum resources for radio communications is very low. [0003] Cognitive Radio (CR) is a promising...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/00
Inventor 赵长名吕守涛刘健隆克平罗强
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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