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Modulation mode identification method based on deep learning and suitable for changing scene

A modulation mode identification and deep learning technology, applied in the field of modulation mode identification based on deep learning

Active Publication Date: 2019-08-30
HUAQIAO UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide a deep learning-based modulation method identification method suitable for changing scenes that is used to solve the problem of modulation identification in variable SNR scenarios

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  • Modulation mode identification method based on deep learning and suitable for changing scene
  • Modulation mode identification method based on deep learning and suitable for changing scene
  • Modulation mode identification method based on deep learning and suitable for changing scene

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Embodiment Construction

[0048] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0049]In order to solve the deficiencies existing in the prior art, such as relying on existing prior knowledge and having high computational complexity, the recognition result is easily disturbed, or the recognition accuracy is low, the present invention provides a modulation method recognition based on deep learning suitable for changing scenes method, mainly using the idea of ​​scene division and scene judgment to effectively solve the problem of modulation mode recognition in changing scenes.

[0050] Such as figure 1 As shown, the deep learning-based modulation method recognition method suitable for changing scenarios described in the present invention, considering N C different signal-to-noise ratio SNR, the wireless environment is divided into N C different SNR scenarios For each SNR scenario, different deep learning network models ...

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Abstract

The invention relates to a modulation mode identification method based on deep learning and suitable for a changing scene. The method fully considers the variability of the SNR in the wireless environment, effectively solves the problem of modulation mode identification in variable SNR scenes through two key steps and ideas of application scene division and scene judgment, and makes a critical progress for coping with the problems of signal analysis and processing and the like in a complex and variable communication system. The method is high in identification precision in a variable SNR scene, and is very close to the identification precision in a specific SNR scene.

Description

technical field [0001] The present invention relates to the field of communication technologies, and more specifically, to a method for identifying modulation modes based on deep learning that is applicable to changing scenarios. Background technique [0002] The purpose of modulation mode identification is to accurately identify the modulation type of the received signal during channel transmission, and provide an important reference for subsequent signal demodulation and analysis. The task of modulation mode identification of communication signals is the most important task in the communication field A critical part, especially in software defined radios and military applications. [0003] Traditional modulation recognition research can be roughly divided into two categories, one is based on decision theory, and the other is based on statistical models. The former relies on existing prior knowledge and has high computational complexity, while the latter has simple theoret...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/00
CPCH04L27/0012
Inventor 彭盛亮谢小娟倪艳琴
Owner HUAQIAO UNIVERSITY